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: 4696 Position Title: Resiratory Scientist Classification: RX1 - RY7 Salary per hour (exc. super... committed to delivering high-quality respiratory diagnostic services. Working under the direction of the Senior Scientist

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YOUR ROLE IN OUR FUTURE Research Scientist - Translational Prostate Cancer 2-year fixed-term, full-time position... and providing the best possible cancer care for our patients. About the role Applications are invited for a Research Scientist

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independent clinical Nuclear Medicine Scientist leadership and clinical services across multiple (more than one) nuclear medicine... and contribute to education, research, clinical governance and service development activities while advancing your own professional

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? Monash Health is seeking an enthusiastic and highly organised Research Study Coordinator (Nursing Level 2/ Medical Scientist... service, we're committed to providing tomorrow's care today by integrating research, teaching and training into everyday

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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San... on accuracy and innovation. Collaborate with AI research teams to enhance training data quality. Work independently

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.com/innovative-medicine We are searching for the best talent for a Sr. Scientist, Biologics Analytical Development. Purpose...: Therapeutics, Development, and Supply (TDS), Proteins Analytical Development (AD) group is seeking a Sr. Scientist to support

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An exciting opportunity has become available for a QC Validation Analytical Scientist to join our Quality Control...-saving biopharmaceutical products. This role is suited to an analytical scientist who enjoys scientific problem solving

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Description : Industry Research Cell Therapies Biotechnology The Company Our client is an early-stage, VC..., viability assays, qPCR and others. Collaboration with other members of the research team and broader laboratory, to develop the

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. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines... and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings

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About the team Q-CTRL's Quantum Sensing Research team performs basic and applied research in quantum sensing... techniques. The Quantum Sensing Research and Quantum Sensing Engineering teams work closely together, translating novel quantum

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Job Description Summary The Molecular Imaging Collaboration Scientist will lead external scientific collaborations... will translate unmet clinical needs and emerging research into feasibility studies, research tools, product concepts, and scientific

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time (20 HPW) fixed term position until October 2027 About the Role The Grade 2 Scientist provides research... coordination and administrative support for clinical research undertaken within the Nephrology Research Unit. The role supports

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Respiratory Scientist Grade 1 | Permanent Full time Box Hill/Maroondah Hospital | Respiratory Laboratory... seeking an enthusiastic and professional Respiratory Scientist to join our friendly and dynamic team at the Eastern Health

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innovation. The Opportunity This is a hands-on, laboratory-based senior scientist role focused on advancing analytical...; a higher research degree in analytical chemistry or a related discipline will be well regarded. Demonstrated hands

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as a Principal Data Scientist in Economic Research, where you will work at the intersection of economics, data science and public...Lead research applying data science, AI and machine learning to central banking and economic policy questions

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health data science / contribute to NIH-funded global psychosis research / build a strong academic profile... to benefit society through the transformative impact of education and research. Your next career opportunity You will join the

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Job description What if behavioural science didn't stop at the research deck? This fast-growing consultancy... into action. Blending commercially applied behavioural science, rigorous research and AI-powered technology, they work

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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San... with AI research teams to enhance model reasoning and outputs. Work independently and asynchronously to meet deadlines and improve

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Research Scientist on Design Generation, you'll work on the generative modelling problems behind how Canva creates.... Job Description About the Group/Team Canva Research sits within Canva's Generative AI supergroup, home to Canva's original AI research. The

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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San... rigorous testing and feedback. Collaborate with AI research teams to enhance training data quality. Work independently

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Summary: We are seeking a highly motivated and skilled Scientist to join our dynamic team. As a Scientist, you will play a crucial role in conducting research, analyzing data, and providing valuable insights across various industries. This position offers an exciting opportunity to contribute to cutting-edge projects and make a significant impact on scientific advancements. Responsibilities: Conduct experiments, collect and analyze data, and interpret results to support research objectives. Develop and optimize scientific methodologies, protocols, and procedures. Collaborate with cross-functional teams to design and execute experiments, ensuring adherence to project timelines. Prepare and present scientific findings, reports, and presentations to internal stakeholders and external partners. Stay updated with the latest scientific advancements, industry trends, and emerging technologies relevant to the field. Maintain accurate records, document experimental procedures, and ensure compliance with regulatory guidelines. Contribute to the development and improvement of scientific processes, equipment, and techniques. Participate in scientific conferences, workshops, and seminars to enhance knowledge and foster professional growth. Qualifications: Bachelor’s, Master’s, or Ph.D. degree in a scientific discipline (e.g., Biology, Chemistry, Physics, etc.). Proven experience in conducting scientific research, data analysis, and experimental design. Strong analytical and problem-solving skills, with the ability to interpret complex data sets. Proficiency in using scientific software, laboratory equipment, and data analysis tools. Excellent written and verbal communication skills, with the ability to present complex scientific concepts effectively. Detail-oriented mindset, with a focus on accuracy and precision in experimental work. Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment. Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines.

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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: STEM PhDs and Technical Domain Experts Type: Contract Compensation: $55–$80/hour Location: Remote Role Responsibilities Contribute subject matter expertise to a project involving state-of-the-art large language models . Create high-quality data by developing challenging problems in your domain. Evaluate and improve AI model performance with a focus on accuracy and innovation. Collaborate with AI research teams to enhance training data quality. Work independently and asynchronously to meet project deadlines. Qualifications Must-Have PhD or advanced degree in Medicine , Statistics and Data Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace Engineering . High attention to detail . Exceptional written and verbal communication skills . Interview Process Complete a short interview and task ( 20–30 mins ). Paid onboarding time for up to 1 hour , including videos. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: [email protected] PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: STEM PhDs and Technical Domain Experts Type: Contract Compensation: $60–$120/hour Location: Remote Role Responsibilities Develop high-quality data sets to inform the future of AI innovation . Create challenging problems in your domain to advance AI model training . Collaborate with AI research teams to enhance model outputs. Work independently and asynchronously with flexible hours . Elevate the quality of training data through rigorous evaluation. Qualifications Must-Have PhD or advanced degree in Medicine, Healthcare , Statistics , Data Science , AI/ML Research , Computer Science , Electrical Engineering , Earth & Environmental Science , Game Development , or Mechanical/Aerospace Engineering . High attention to detail . Exceptional written and verbal communication skills . Interview Process Complete a short interview and task ( 20–30 mins ). Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: [email protected] PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: STEM PhDs and Technical Domain Experts Type: Contract Compensation: $55–$80/hour Location: Remote Role Responsibilities Contribute subject matter expertise to a project involving state-of-the-art large language models . Create high-quality data by developing challenging problems in your domain. Evaluate and improve AI model performance with a focus on accuracy and innovation. Collaborate with AI research teams to enhance training data quality. Work independently and asynchronously to meet project deadlines. Qualifications Must-Have PhD or advanced degree in Medicine , Statistics and Data Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace Engineering . High attention to detail . Exceptional written and verbal communication skills . Interview Process Complete a short interview and task ( 20–30 mins ). Paid onboarding time for up to 1 hour , including videos. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: [email protected] PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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JoVE is the world-leading producer and provider of science video solutions with the mission to improve scientific research and education. Millions of scientists, educators and students use JoVE for their research, teaching and learning. Our institutional clients comprise over 1,000 universities, colleges, and biopharma companies, including University of Melbourne, University of New South Wales, Adelaide University, University of Sydney, Harvard University, Yale University, and Stanford University. As a rapidly growing company, with offices in the USA, UK, Australia, and India servicing clients in over 60 countries, we are seeking talented and ambitious individuals to join our company. The Role We are looking for dedicated sales professionals to drive adoption of JoVE products at universities and colleges. An ideal candidate is a result-oriented achiever, who is effective in a remote work environment and strives to succeed and grow with the company. If you're passionate about education, science, and sales—and thrive in a remote-first environment—this is for you. Responsibilities Own full sales cycle, from prospecting to close. Meet or exceed sales goals. Craft your territory sales plan and execute on that plan. Conduct daily outreach to build new business opportunities and to maintain existing book of business. Present the product, online and in-person, to researchers, teaching faculty and academic librarians. Analyze trends and make data driven decisions on priorities in your work. Work effectively with other team members to deliver on sales targets, team projects and campaigns. Attend tradeshows and participate in other marketing activities. Requirements A Bachelor’s degree with 3 years of experience in sales, preferably in EdTech, STEM Publishing or SaaS Excellent communication, presentation and negotiation skills in person and online. Experienced with Salesforce and platforms such as Hubspot. Confidence in dealing with clients and product users. Self-motivated, initiative, results-oriented and willing to learn new skills. Self-motivated, results-oriented, and willing to learn new skills. Benefits A competitive compensation package including unlimited commissions on your sales You will make a direct impact in accelerating science research and education. Opportunity to work with global teams and in an environment that promotes innovation and collaboration. Our strong promotion from within culture draws a clear path to advance your career with us

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Staff Research Scientist, Android Pixel Audio Share Staff Research Scientist, Android Pixel Audio _corporate_fare_ Google _place_ New Taipei, Banqiao District, New Taipei City, Taiwan; Sydney NSW, Australia Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Share Staff Research Scientist, Android Pixel Audio _info_outline_ XFor Taiwan applicants: Google welcomes people with disabilities. For Australia applicants: At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google's technology, platforms and people and we welcome Indigenous applicants. Please see ourReconciliation Action Plan (https://reconciliationactionplan.withgoogle.com/) for more information.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New Taipei, Banqiao District, New Taipei City, Taiwan; Sydney NSW, Australia . Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience. 4 years of experience with research agendas across multiple teams or projects. One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: 5 years of experience with software development in one or more programming languages, or 3 year of experience with an advanced degree. Experience with machine learning principles and model architectures. Experience in audio and speech related model development and inference. Multiple scientific publications at audio/signal processing/speech/ML research conferences, journals, or public repositories. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. As a Staff Research Scientist in Android Pixel Audio, you will be responsible for algorithm development for audio use cases across Pixel product lines. You will innovate, execute and validate audio pipelines through both offline simulation and real-time on-device hardware. You will be interacting with partner teams such as DeepMind and Google Silicon teams to design and modify the algorithms and software layers to impact the upcoming Google audio technology roadmap across the Pixel ecosystem.The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. Responsibilities Own machine learning model development including model training and optimization. Contribute to model inference optimization into Android Kernel/HAL and audio and speech algorithms development process. Design and fine tune Machine Learning (ML) models for Pixel devices. Contribute to prototyping to delivery for audio features. Collaborate with Android Pixel Audio and Google Silicon teams for feature development. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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Job Description Summary The Molecular Imaging Collaboration Scientist will lead external scientific collaborations that generate innovations, applications, and evidence for GE HealthCare's next-generation Molecular Imaging portfolio. The role will have a primary focus on PET technology while also supporting clinical translation and strategic collaborations across SPECT. Serving as a technical and scientific bridge among academic collaborators, product teams, engineering, and MIM, this individual will translate unmet clinical needs and emerging research into feasibility studies, research tools, product concepts, and scientific evidence. The successful candidate will independently shape and lead research collaborations, develop technology-centered evidence plans that complement clinical evidence generated by partner sites, and drive multiple scientific publications. The individual will combine hands-on expertise in PET algorithms, reconstruction, post-processing, and quantitative imaging with strong scientific communication and relationship-building skills. This role is well suited to a collaborative scientist who can represent GE HealthCare effectively and translate technical innovation into meaningful clinical and scientific impact. Job Description Roles and Responsibilities Combine knowledge of physics, reconstruction, engineering, and clinical needs to design and drive collaborative research projects aligned with near-, medium-, and long-term business needs. Develop and validate new applications of total-body PET, supporting clinical implementation, adoption, and validation of new capabilities. Maintain sufficient breadth across SPECT to support clinical translation and enable effective partnerships with engineering and MIM. Partner across GE HealthCare with scientists, engineers, and product leaders to evaluate prototypes, validate technology performance, and accelerate the transition of research tools toward product-ready solutions. Engineering and product teams retain ownership of commercial product implementation. Contribute directly to research algorithms, reconstruction methods, post-processing approaches, quantitative imaging methods, and research software needed to support collaborative investigations. Provide onsite scientific and technical support, when needed, to validate new technologies developed by engineering teams and to support partner-site investigations. Lead original research that results in peer-reviewed publications, conference presentations, and patent applications, elevating GE HealthCare's leadership in Molecular Imaging innovation. Develop technology-centered evidence plans that complement clinical evidence generated by partner sites and support multiple high-quality publications. Effectively communicate technical analyses and results to GE HealthCare leadership, academic partners, and scientific audiences at congresses and meetings. Identify unmet clinical and technical needs with external collaborators and translate those needs into defined research and development opportunities. Build and maintain collaborator networks, and provide insights that inform GE HealthCare roadmap planning and evidence-based communication of research results. Lead the technical execution and scientific direction of external collaborations, including site engagement, scientific deliverables, data analysis, and publication planning. Support project operations, timelines, documentation, and governance in partnership with research and project managers. Pursue external grants and other strategic partnerships to expand scientific resources and impact. Required Qualifications Ph.D. Degree in an engineering or science field such as Electrical Engineering, Biomedical Engineering, Computer Science, Applied Math, or Physics Minimum 4 years of experience in medical imaging, image processing, or related application development. Demonstrated experience developing PET imaging technology, including hands-on work in one or more areas such as image reconstruction, corrections, quantitative imaging, post-processing, algorithm development, system-performance evaluation, or research software development Experience in developing with modern programming languages e.g. Python, MATLAB etc. A proactive, curious, and adaptable approach—comfortable taking on new scientific and technical challenges. Excellent English language communication skills Desired Characteristics Strong track record and experience in publishing scientific articles, with key emphasis in MI physics and applications Experience utilizing AI tools for development (Claude, Codex, etc). Experience in industrial/academic collaborations Experience operating in a clinical research environment Experience in grant writing and/or externally funded research Why GE HealthCare? We offer more than just a job—we offer a career with purpose, flexibility, and global opportunity! Competitive salary package 5 weeks leave (ask about “Take 5”) Flexible working options Career development locally and globally Employee benefits program with discounts on travel, entertainment & more Additional Information Relocation Assistance Provided: No

About the role

Job Description Summary The Molecular Imaging Collaboration Scientist will lead external scientific collaborations that generate innovations, applications, and evidence for GE HealthCare's next-generation Molecular Imaging portfolio. The role will have a primary focus on PET technology while also supporting clinical translation and strategic collaborations across SPECT. Serving as a technical and scientific bridge among academic collaborators, product teams, engineering, and MIM, this individual will translate unmet clinical needs and emerging research into feasibility studies, research tools, product concepts, and scientific evidence. The successful candidate will independently shape and lead research collaborations, develop technology-centered evidence plans that complement clinical evidence generated by partner sites, and drive multiple scientific publications. The individual will combine hands-on expertise in PET algorithms, reconstruction, post-processing, and quantitative imaging with strong scientific communication and relationship-building skills. This role is well suited to a collaborative scientist who can represent GE HealthCare effectively and translate technical innovation into meaningful clinical and scientific impact. Job Description Roles and Responsibilities Combine knowledge of physics, reconstruction, engineering, and clinical needs to design and drive collaborative research projects aligned with near-, medium-, and long-term business needs. Develop and validate new applications of total-body PET, supporting clinical implementation, adoption, and validation of new capabilities. Maintain sufficient breadth across SPECT to support clinical translation and enable effective partnerships with engineering and MIM. Partner across GE HealthCare with scientists, engineers, and product leaders to evaluate prototypes, validate technology performance, and accelerate the transition of research tools toward product-ready solutions. Engineering and product teams retain ownership of commercial product implementation. Contribute directly to research algorithms, reconstruction methods, post-processing approaches, quantitative imaging methods, and research software needed to support collaborative investigations. Provide onsite scientific and technical support, when needed, to validate new technologies developed by engineering teams and to support partner-site investigations. Lead original research that results in peer-reviewed publications, conference presentations, and patent applications, elevating GE HealthCare's leadership in Molecular Imaging innovation. Develop technology-centered evidence plans that complement clinical evidence generated by partner sites and support multiple high-quality publications. Effectively communicate technical analyses and results to GE HealthCare leadership, academic partners, and scientific audiences at congresses and meetings. Identify unmet clinical and technical needs with external collaborators and translate those needs into defined research and development opportunities. Build and maintain collaborator networks, and provide insights that inform GE HealthCare roadmap planning and evidence-based communication of research results. Lead the technical execution and scientific direction of external collaborations, including site engagement, scientific deliverables, data analysis, and publication planning. Support project operations, timelines, documentation, and governance in partnership with research and project managers. Pursue external grants and other strategic partnerships to expand scientific resources and impact. Required Qualifications Ph.D. Degree in an engineering or science field such as Electrical Engineering, Biomedical Engineering, Computer Science, Applied Math, or Physics Minimum 4 years of experience in medical imaging, image processing, or related application development. Demonstrated experience developing PET imaging technology, including hands-on work in one or more areas such as image reconstruction, corrections, quantitative imaging, post-processing, algorithm development, system-performance evaluation, or research software development Experience in developing with modern programming languages e.g. Python, MATLAB etc. A proactive, curious, and adaptable approach-comfortable taking on new scientific and technical challenges. Excellent English language communication skills Desired Characteristics Strong track record and experience in publishing scientific articles, with key emphasis in MI physics and applications Experience utilizing AI tools for development (Claude, Codex, etc). Experience in industrial/academic collaborations Experience operating in a clinical research environment Experience in grant writing and/or externally funded research Why GE HealthCare? We offer more than just a job-we offer a career with purpose, flexibility, and global opportunity! Competitive salary package 5 weeks leave (ask about "Take 5") Flexible working options Career development locally and globally Employee benefits program with discounts on travel, entertainment & more Additional Information Relocation Assistance Provided: No

About the role

Job Description Summary The Molecular Imaging Collaboration Scientist will lead external scientific collaborations that generate innovations, applications, and evidence for GE HealthCare's next-generation Molecular Imaging portfolio. The role will have a primary focus on PET technology while also supporting clinical translation and strategic collaborations across SPECT. Serving as a technical and scientific bridge among academic collaborators, product teams, engineering, and MIM, this individual will translate unmet clinical needs and emerging research into feasibility studies, research tools, product concepts, and scientific evidence. The successful candidate will independently shape and lead research collaborations, develop technology-centered evidence plans that complement clinical evidence generated by partner sites, and drive multiple scientific publications. The individual will combine hands-on expertise in PET algorithms, reconstruction, post-processing, and quantitative imaging with strong scientific communication and relationship-building skills. This role is well suited to a collaborative scientist who can represent GE HealthCare effectively and translate technical innovation into meaningful clinical and scientific impact. Job Description Roles and Responsibilities Combine knowledge of physics, reconstruction, engineering, and clinical needs to design and drive collaborative research projects aligned with near-, medium-, and long-term business needs. Develop and validate new applications of total-body PET, supporting clinical implementation, adoption, and validation of new capabilities. Maintain sufficient breadth across SPECT to support clinical translation and enable effective partnerships with engineering and MIM. Partner across GE HealthCare with scientists, engineers, and product leaders to evaluate prototypes, validate technology performance, and accelerate the transition of research tools toward product-ready solutions. Engineering and product teams retain ownership of commercial product implementation. Contribute directly to research algorithms, reconstruction methods, post-processing approaches, quantitative imaging methods, and research software needed to support collaborative investigations. Provide onsite scientific and technical support, when needed, to validate new technologies developed by engineering teams and to support partner-site investigations. Lead original research that results in peer-reviewed publications, conference presentations, and patent applications, elevating GE HealthCare's leadership in Molecular Imaging innovation. Develop technology-centered evidence plans that complement clinical evidence generated by partner sites and support multiple high-quality publications. Effectively communicate technical analyses and results to GE HealthCare leadership, academic partners, and scientific audiences at congresses and meetings. Identify unmet clinical and technical needs with external collaborators and translate those needs into defined research and development opportunities. Build and maintain collaborator networks, and provide insights that inform GE HealthCare roadmap planning and evidence-based communication of research results. Lead the technical execution and scientific direction of external collaborations, including site engagement, scientific deliverables, data analysis, and publication planning. Support project operations, timelines, documentation, and governance in partnership with research and project managers. Pursue external grants and other strategic partnerships to expand scientific resources and impact. Required Qualifications Ph.D. Degree in an engineering or science field such as Electrical Engineering, Biomedical Engineering, Computer Science, Applied Math, or Physics Minimum 4 years of experience in medical imaging, image processing, or related application development. Demonstrated experience developing PET imaging technology, including hands-on work in one or more areas such as image reconstruction, corrections, quantitative imaging, post-processing, algorithm development, system-performance evaluation, or research software development Experience in developing with modern programming languages e.g. Python, MATLAB etc. A proactive, curious, and adaptable approach-comfortable taking on new scientific and technical challenges. Excellent English language communication skills Desired Characteristics Strong track record and experience in publishing scientific articles, with key emphasis in MI physics and applications Experience utilizing AI tools for development (Claude, Codex, etc). Experience in industrial/academic collaborations Experience operating in a clinical research environment Experience in grant writing and/or externally funded research Why GE HealthCare? We offer more than just a job-we offer a career with purpose, flexibility, and global opportunity! Competitive salary package 5 weeks leave (ask about "Take 5") Flexible working options Career development locally and globally Employee benefits program with discounts on travel, entertainment & more Additional Information Relocation Assistance Provided: No

About the role

About the team Q-CTRL’s Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation. It is a highly dynamic team comprising approximately 30 specialists in theoretical and experimental atomic physics, cold-atom interferometry, navigation modeling , and modern Bayesian estimation and signal processing techniques. The Quantum Sensing Research and Quantum Sensing R&D teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focussed on pushing the boundary of what is possible in quantum sensing and ensuring our R&D has real-world impact. About the role Join Q-CTRL to help turn cutting-edge quantum sensing technology into robust devices that can operate in the real world. As a Senior FPGA and Embedded Software Engineer, you will develop the real-time digital and firmware stack behind our quantum accelerometers, working where advanced hardware, control systems and fundamental science meet. You will partner closely with research scientists and engineers to understand how the whole sensor works, then make it more capable and reliable. This is a role for a curious, versatile engineer who enjoys getting close to the hardware and learning new domains quickly. You do not need to arrive with experience in every technology listed below: we value strong fundamentals, thoughtful problem-solving and the drive to learn. What you'll be doing: Develop, integrate, optimise and support FPGA firmware for Q-CTRL quantum sensors.Implement and maintain timing-critical digital processing blocks, including filters, decimation and related DSP pipelines. Build robust startup, calibration, operation and monitoring routines for autonomous sensor operation. Work with research scientists to translate control concepts into reliable, real-time behaviour close to the hardware. Integrate FPGA logic with SoC software, enabling reliable, time-synchronised high-bandwidth data capture, DMA transfer and storage. Establish and improve simulation and hardware-in-the-loop testing to support continuous integration and confident field deployment. Investigate system-level issues across FPGA logic, firmware, electronics, embedded Linux and higher-level software. Contribute to architecture decisions that improve reliability and performance in future sensor revisions. Document test, validation and operational procedures as part of delivering the quantum sensor package. Ideally you'll have: Strong foundations in digital design and embedded systems. Familiarity with SystemVerilog for implementing and maintaining FPGA logic. Experience with Xilinx SoCs and Vivado-based development workflows. Digital signal processing experience, including practical implementation of filters, decimation or related signal-conditioning pipelines. Experience with simulation and verification workflows such as cocotb. Familiarity with CI/CD development processes for testing, validation and deployment. Some familiarity with systems programming languages (for example C, C++ or Rust) to interface with FPGA data paths, including DMA-based transfer. Curiosity about complex systems and the persistence to understand how hardware, firmware, software and physics interact. Experience with, or enthusiasm to learn, timing-critical control systems and high-bandwidth data capture or storage. Familiarity with low-latency and low-level communications such as TCP/IP, SPI, I2C or CAN bus. Exposure to embedded Linux, customised operating systems or Yocto is useful, but not essential. Familiarity with GitHub Actions and CI/CD workflows for cloud testing and deployment. A collaborative approach and the ability to work effectively with engineers and research scientists in an evolving technical environment. About Q-CTRL Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact. Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Huntsville, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we’re hiring talent to help scale every part of the business. We work quickly to turn cutting-edge science into deployable technology. In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field-validated quantum navigation solution for defense and industry. At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you’re ready to help shape the future of quantum, we’d love to hear from you! Please be advised that our communications will only come from the @ q-ctrl.com domain. All our active job postings are available on our company website . To recruitment agencies, we do not accept unsolicited branded profiles and are not responsible for any fees related to unsolicited resumes. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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About the role

What Success Looks LikeSuccess in this role will be measured not only by organisational outcomes, but by the strength and sustainability of Queensland's primary industries sector. You will: * Provide strategic advice to government on industry priorities and opportunities. * Drive delivery of the department's primary industries agenda. * Strengthen connections between policy, research, innovation and industry outcomes. * Support the commercialisation of research and emerging technologies. * Build strong partnerships across industry, government, research institutions and regional communities. * Position Queensland as a recognised leader in primary industries innovation and research. * Advance long-term prosperity through implementation of the Prosper 2050 vision. You will also help foster a culture that values collaboration, evidence-based decision making and practical solutions to complex challenges. About You:You are an accomplished executive leader with the ability to operate confidently across complex stakeholder environments, balancing strategic vision with practical delivery. You understand the critical contribution primary industries make to Queensland's economy and communities, and you bring a genuine appreciation for the opportunities and challenges facing the sector. Whether your background sits within government, industry, research, science, agribusiness or a related field, you will have demonstrated experience leading largescale, complex portfolios and translating strategy into meaningful outcomes. You will be recognised for your ability to: * Lead through complexity and change. * Influence across government, industry and research sectors. * Build trusted relationships with diverse stakeholders. * Navigate competing priorities and emerging issues. * Deliver outcomes through collaboration and partnership. * Lead high-performing teams focused on long-term impact. * Regional Queensland candidates are strongly encouraged to apply. Why This Role MattersFew executive opportunities provide the breadth of influence offered by this role. From helping shape industry policy and investment decisions, to driving research, innovation and commercial outcomes, this position sits at the intersection of government leadership and industry advancement. It is an opportunity to contribute to the future prosperity of Queensland, strengthen industries that underpin primary industries and help guide one of the state's most important economic sectors through its next chapter.

About the role

Are you an experienced analytical chemist looking for an opportunity to lead a highly skilled scientific team and make a meaningful contribution to Queensland's environmental and agricultural future? The Chemistry Centre, part of the Department of the Environment, Tourism, Science and Innovation (DETSI), is seeking a motivated and collaborative Senior Chemist to lead our Soil and Plants Team at the EcoSciences Precinct in Dutton Park. In this role, you will combine scientific expertise, people leadership, and innovation to deliver high-quality analytical services that support environmental monitoring, agricultural productivity, natural resource management, and scientific research across Queensland. Leading a team of professional and technical staff, you will oversee the delivery of analytical services for soil and plant samples using a range of sophisticated instrumentation, including ICP-OES, XRF, segmented flow analysers, and carbon and nitrogen analysers. You will play a critical role in ensuring results are accurate, reliable, timely, and fit-for-purpose while maintaining compliance with NATA quality requirements and customer expectations. This role offers the opportunity to apply your expertise in analytical chemistry to a diverse range of environmental and scientific challenges. You will provide specialist advice, interpret and communicate scientific findings, support environmental monitoring and research programs, and contribute to projects focused on land resource assessment, land management, contamination investigations, and environmental sustainability. As a leader within the Chemistry Centre, you will drive continuous improvement initiatives and champion innovation through the development, validation, and optimisation of analytical methods. You will work closely with internal and external stakeholders to identify emerging needs, solve complex analytical problems, and ensure the laboratory continues to deliver services that meet evolving scientific and customer requirements. We are looking for someone who brings extensive experience in analytical chemistry and laboratory operations, along with demonstrated success leading teams in a highthroughput environment. You will be a capable people leader who can foster a positive workplace culture, develop staff capability, manage competing priorities, and support your team to achieve exceptional outcomes. Strong communication and stakeholder engagement skills will be essential as you work with scientists, researchers, government partners, industry clients, and other technical specialists. The Chemistry Centre offers a unique opportunity to work alongside leading scientific experts in a collaborative and innovative environment. Our team is recognised for excellence in analytical chemistry, method development, environmental chemistry, tracer technologies, stable isotope applications, and the delivery of high-quality scientific services that support evidence-based decision making. If you are passionate about scientific excellence, enjoy leading people, and want to contribute to projects that deliver real benefits for Queensland's environment, agriculture, and communities, we encourage you to apply. This is an outstanding opportunity to influence the future direction of analytical services while advancing your own leadership and technical career within one of Queensland's premier scientific laboratories. Applications to remain current for 12 months. Job Ad Reference: QLD/702792/26 Closing Date: Tuesday, 13 October 2026

About the role

Job Description: • Excellent benefits including salary packaging • Challenging and rewarding work environment • Part time (20 HPW) fixed term position until October 2027 About the Role The Grade 2 Scientist provides research coordination and administrative support for clinical research undertaken within the Nephrology Research Unit. The role supports participant recruitment, study coordination, ethics and governance activities, data collection, regulatory compliance, maintenance of essential documents and communication with investigators, sponsors and study participants. The position contributes to delivery of high-quality clinical research conducted in accordance with approved protocols, International Council for Harmonisation – Good Clinical Practice (ICH-GCP), institutional policies and Australian research governance requirements. The role works closely with and supports the Research coordinator Position Duties Support recruitment, screening, enrolment and retention of research participants. Coordinate participant visits, investigations and follow-up. Assist investigators in day-to-day conduct of multiple concurrent studies. Maintain study schedules and ensure protocol compliance. Classifications for this position will range from RY4-RY7 ($94,478.80- $106,906.80 per annum, pro rata). Your Contribution Bachelor’s degree in health science, Biomedical Science, Medical Science, Public Health, Clinical Research or related discipline. Current ICH-GCP certification or willingness to obtain. Experience in healthcare, clinical research or research administration. Knowledge of research ethics, governance and Good Clinical Practice. Excellent organizational, communication and interpersonal skills. What we Offer • A focus on wellbeing initiatives, with regular events and programs • Confidential, solutions-focused employee counselling • Ability to join Fitness Passport - Your pass to an extensive choice of fitness facilities • Salary Packaging – Increase your take home pay! • Regular opportunities for professional development to assist you to reach your career goals • Culture of continuous improvement About The Department of Nephrology The Nephrology Service provides comprehensive care across the continuum of chronic kidney disease, from outpatient management through to haemodialysis, peritoneal dialysis, home dialysis and kidney transplantation. The service supports metropolitan, regional and rural dialysis programs and maintains an active clinical research portfolio comprising investigator-initiated and commercial studies. Working at St Vincent’s St Vincent’s Hospital Melbourne (SVHM) is a leading teaching, research and tertiary health service. SVHM provides a diverse range of adult clinical services and is driven by values of Compassion, Justice, Integrity and Excellence. Application Please attach your resume and cover letter to your application. Shortlisting for this position will commence immediately. We encourage you to apply promptly as the advertisement may close early should a suitable applicant be sourced. We encourage applications from people of all backgrounds and abilities. Inclusion is essential to our mission and diversity reflects the community we serve. Please visit our website, for further information regarding our Aboriginal and Torres Strait Islander Employment at SVHM. SVHA has a duty of care under work health and safety legislation to eliminate and/or control the risk of transmission of vaccine preventable diseases in healthcare settings. You may therefore be required to undergo mandatory immunisations/vaccinations (including flu vaccinations). This position is subject to a Victorian government direction regarding vaccination against COVID-19. Successful applicants must meet these vaccination requirements. Please contact us if you would like to know more. Closing Date: 28 October 2026 11:59pm Reconciliation Action Plan: At St Vincent's we acknowledge the importance of creating a work environment that is welcoming, safe, equitable and inclusive for Aboriginal and/or Torres Strait Islander Employees. As part of our Commitment to Reconciliation and Closing the Gap in employment related outcomes, we encourage applications from Aboriginal and Torres Strait Islander Peoples. For further information, visit https ://www.svha.org.au/about-us/reconciliation or get in contact at [email protected] View Reconciliation Action Plan Code of Conduct: View Code of Conduct

About the role

Job Description: • Excellent benefits including salary packaging • Challenging and rewarding work environment • Part time (20 HPW) fixed term position until October 2027 About the Role The Grade 2 Scientist provides research coordination and administrative support for clinical research undertaken within the Nephrology Research Unit. The role supports participant recruitment, study coordination, ethics and governance activities, data collection, regulatory compliance, maintenance of essential documents and communication with investigators, sponsors and study participants. The position contributes to delivery of high-quality clinical research conducted in accordance with approved protocols, International Council for Harmonisation – Good Clinical Practice (ICH-GCP), institutional policies and Australian research governance requirements. The role works closely with and supports the Research coordinator Position Duties Support recruitment, screening, enrolment and retention of research participants. Coordinate participant visits, investigations and follow-up. Assist investigators in day-to-day conduct of multiple concurrent studies. Maintain study schedules and ensure protocol compliance. Classifications for this position will range from RY4-RY7 ($94,478.80- $106,906.80 per annum, pro rata). Your Contribution Bachelor’s degree in health science, Biomedical Science, Medical Science, Public Health, Clinical Research or related discipline. Current ICH-GCP certification or willingness to obtain. Experience in healthcare, clinical research or research administration. Knowledge of research ethics, governance and Good Clinical Practice. Excellent organizational, communication and interpersonal skills. What we Offer • A focus on wellbeing initiatives, with regular events and programs • Confidential, solutions-focused employee counselling • Ability to join Fitness Passport - Your pass to an extensive choice of fitness facilities • Salary Packaging – Increase your take home pay! • Regular opportunities for professional development to assist you to reach your career goals • Culture of continuous improvement About The Department of Nephrology The Nephrology Service provides comprehensive care across the continuum of chronic kidney disease, from outpatient management through to haemodialysis, peritoneal dialysis, home dialysis and kidney transplantation. The service supports metropolitan, regional and rural dialysis programs and maintains an active clinical research portfolio comprising investigator-initiated and commercial studies. Working at St Vincent’s St Vincent’s Hospital Melbourne (SVHM) is a leading teaching, research and tertiary health service. SVHM provides a diverse range of adult clinical services and is driven by values of Compassion, Justice, Integrity and Excellence. Application Please attach your resume and cover letter to your application. Shortlisting for this position will commence immediately. We encourage you to apply promptly as the advertisement may close early should a suitable applicant be sourced. We encourage applications from people of all backgrounds and abilities. Inclusion is essential to our mission and diversity reflects the community we serve. Please visit our website, for further information regarding our Aboriginal and Torres Strait Islander Employment at SVHM. SVHA has a duty of care under work health and safety legislation to eliminate and/or control the risk of transmission of vaccine preventable diseases in healthcare settings. You may therefore be required to undergo mandatory immunisations/vaccinations (including flu vaccinations). This position is subject to a Victorian government direction regarding vaccination against COVID-19. Successful applicants must meet these vaccination requirements. Please contact us if you would like to know more. Closing Date: 28 October 2026 11:59pm Reconciliation Action Plan: At St Vincent's we acknowledge the importance of creating a work environment that is welcoming, safe, equitable and inclusive for Aboriginal and/or Torres Strait Islander Employees. As part of our Commitment to Reconciliation and Closing the Gap in employment related outcomes, we encourage applications from Aboriginal and Torres Strait Islander Peoples. For further information, visit https ://www.svha.org.au/about-us/reconciliation or get in contact at [email protected] View Reconciliation Action Plan Code of Conduct: View Code of Conduct

About the role

Location: Brisbane CBD Emplo yment Type: Full-time Salary: $120,000 - $140,000 Superannuation This is one for a Senior Project Architect who wants to be properly involved leading complex healthcare projects, working closely with clients and helping shape a growing Brisbane studio. The role sits within an established architecture and interiors practice with deep experience in healthcare and other people-focused sectors including education, research, science, aged care and institutional work. Their projects range from community facilities through to highly complex health environments, so the work calls for strong technical judgement, calm leadership and an ability to keep a lot of moving parts aligned. You’ll be taking ownership across project delivery, consultant coordination, Revit documentation, services integration, quality, compliance and stakeholder communication. There’s also a clear mentoring piece, with the opportunity to support younger architects while contributing to how the studio continues to build its Queensland presence. What makes this one worth considering: Lead complex healthcare projects within a growing Brisbane studio Work across design, documentation, coordination and delivery rather than one narrow project phase Build strong relationships with clients, consultants and internal teams Take a key role in services coordination, technical delivery and project quality Mentor graduates and emerging architects within a supportive team Contribute to the continued growth of the studio’s Queensland healthcare portfolio Work on projects that genuinely affect patients, staff and community outcomes About the company This is a long-established Australian architecture and interior design practice with a strong focus on environments that support people and communities. Healthcare is central to the studio’s work, alongside education, research, science, aged care and institutional projects. The Brisbane team is at an exciting stage of growth, making this a good fit for someone who wants responsibility, visibility and the chance to have a real impact beyond their own project list. You can call Shane on 0406 639 008 or email [email protected] if you have any questions. Kappa Executive Search is an Australian Executive Search & Recruitment firm with offices in Sydney and Brisbane, operating since 2012. We specialise in placing professionals within the consultancy environment. Our core sectors of expertise are Design, Engineering and Pre-Construction, and we pride ourselves in working with the highest calibre candidates and consultancies around Australia.

About the role

Location: Brisbane CBD Emplo yment Type: Full-time Salary: $120,000 - $140,000 Superannuation This is one for a Senior Project Architect who wants to be properly involved leading complex healthcare projects, working closely with clients and helping shape a growing Brisbane studio. The role sits within an established architecture and interiors practice with deep experience in healthcare and other people-focused sectors including education, research, science, aged care and institutional work. Their projects range from community facilities through to highly complex health environments, so the work calls for strong technical judgement, calm leadership and an ability to keep a lot of moving parts aligned. You’ll be taking ownership across project delivery, consultant coordination, Revit documentation, services integration, quality, compliance and stakeholder communication. There’s also a clear mentoring piece, with the opportunity to support younger architects while contributing to how the studio continues to build its Queensland presence. What makes this one worth considering: Lead complex healthcare projects within a growing Brisbane studio Work across design, documentation, coordination and delivery rather than one narrow project phase Build strong relationships with clients, consultants and internal teams Take a key role in services coordination, technical delivery and project quality Mentor graduates and emerging architects within a supportive team Contribute to the continued growth of the studio’s Queensland healthcare portfolio Work on projects that genuinely affect patients, staff and community outcomes About the company This is a long-established Australian architecture and interior design practice with a strong focus on environments that support people and communities. Healthcare is central to the studio’s work, alongside education, research, science, aged care and institutional projects. The Brisbane team is at an exciting stage of growth, making this a good fit for someone who wants responsibility, visibility and the chance to have a real impact beyond their own project list. You can call Shane on 0406 639 008 or email [email protected] if you have any questions. Kappa Executive Search is an Australian Executive Search & Recruitment firm with offices in Sydney and Brisbane, operating since 2012. We specialise in placing professionals within the consultancy environment. Our core sectors of expertise are Design, Engineering and Pre-Construction, and we pride ourselves in working with the highest calibre candidates and consultancies around Australia.

About the role

Faculty of Science Full-time, continuing position. Base salary will be in the range $97,268 - $104,348 17% super (HEW Level 6). Join our Gatton Campus community – take a virtual tour ! About This Opportunity Join a collaborative, supportive and purpose-driven team within the Faculty of Science Infrastructure & Facilities portfolio. As a Senior Facilities Officer, you will play a vital role in maintaining and enhancing the physical environments that underpin world-class teaching, research and operational excellence. Based at UQ's Gatton Campus , you will work closely with stakeholders across the School of Veterinary Science, Agricultural and Food Sciences (AGFS), Gatton Farm operations and the broader Faculty of Science. Supporting a diverse range of facilities and stakeholders, you will provide trusted facilities expertise, coordinate infrastructure and maintenance activities, and help ensure staff, students and industry partners can thrive in safe, functional and innovative spaces. This hands-on role offers the opportunity to make a meaningful impact across one of Australia's leading veterinary, agricultural and animal science precincts. Working across Agricultural and Food Sciences, Gatton Farm operations and veterinary facilities, you'll contribute to the success of teaching, research and industry engagement activities that support both the University and the wider community. Whether you're looking for a tree change, seeking genuine work-life balance, or are motivated by contributing to education, research and innovation, you'll enjoy being part of a collaborative team and welcoming rural community. Flexible start and finish times may be available , subject to operational requirements. This role provides the opportunity to enjoy more of what matters outside of work while building a rewarding career at UQ Gatton, where a unique blend of rural lifestyle, supportive community and world-class education and research facilities creates an exceptional place to live and work. Key responsibilities will inclu de: Coordinating facilities maintenance activities through inspections, issue identification, contractor engagement and timely resolution of infrastructure matters. Supporting infrastructure and capital projects through planning, stakeholder consultation, project coordination and defect management. Managing assets, equipment records, local databases and facilities systems to support operational excellence and informed decision-making. Coordinating space allocation, access control and facilities operations to ensure efficient, safe and compliant use of Faculty spaces. About You To be successful in this role, you will bring: A relevant degree with subsequent experience, or an equivalent combination of relevant skills, knowledge, experience and education/training. Experience coordinating small facilities or infrastructure projects, including managing competing priorities, timelines and budgets. Strong customer service, interpersonal and stakeholder engagement skills, with the ability to build effective working relationships and resolve issues in a timely manner. Excellent organisational, communication and problem-solving skills, with strong attention to detail. Sound knowledge of mechanical and hydraulic systems within a scientific, research or technical environment. The ability to interpret scientific or technical requirements relating to equipment, facilities or infrastructure, and communicate these effectively to both technical and non-technical stakeholders. Demonstrated ability to work independently, exercise initiative and judgement, and deliver practical solutions. Demonstrated computer literacy and skills in Microsoft Office suite of products. Experience in a higher education, research, scientific or similarly complex operational environment will be highly regarded. About UQ As part of the UQ community, you’ll have the opportunity to work alongside the brightest minds, who have joined us from all over the world, working together to create a better world. Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as: Free parking and intercampus bus On campus childcare , medical clinic, and post office Up to 26 weeks paid parental leave/paid primary care leave 17% superannuation contributions 17.5% annual leave loading Health and wellness discounts: fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family Career development opportunities: access to exclusive internal-only vacancies and our Study for Staff program 25% discount on eligible UQ Vets services Access to our $4.1 million UQ Sports facility Interested? For more information about this opportunity, please contact Ricard Marnewick [email protected] . For application inquiries, please reach out to the Talent Acquisition team at [email protected] , stating the job reference number (below) in the subject line. When you apply, please ensure you upload a resume and cover letter summarizing how your background aligns to the ‘About You’ section. Please note that applications received via email will not be accepted. Other Information Pre-employment checks may include: verification of the right to work in Australia. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements. You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment. We're dedicated to equity, diversity, and inclusion . We recognise that career pathways and opportunities differ, and encourage applications from candidates who may not meet every criteria but can demonstrate their potential relative to opportunity. We’re also happy to support any accessibility needs throughout the recruitment process. Just let us know how we can help by emailing [email protected] or calling 61 7 3365 2623. Applications close Tuesday 13 October 2026 at 11.00pm AEST (R-67860).

About the role

YOUR ROLE: You will work in our research team to extend the capabilities of neural networks applied to video / audio / text understanding and common sense reasoning. You will perform research on recurrent networks, attention policies, multi-task learning and scaling up training. You will have expert understanding of NIPS, ICLR, CVPR, PAMI. You will help define and shape a platform with practical real world client applications from Day 1 at the forefront of Deep Learning and AI. We have used our expertise to: Increase crop yields, predict credit defaults, identify dark matter, render blockbuster VFX, develop & simulate medical breakthroughs, calculate re-entry profiles for spacecraft, give machine vision to Robots and UAV’s, and much more WHAT WE OFFER: Full time, Part-time, Contract Roles. The opportunity to work in an industry respected business with extensive clients, and deep HPC and BigData experience. We embrace remote working. If you have commitments, or a personal preference to work from a location of your choice, we embrace it. We welcome applications from overseas applicants open to working remotely. Work with subject matter experts with real world client problems. Did we mention we have Space Industry clients? A fun, dynamic environment with the latest and best hardware for AI, BigData and DL, and problems at the forefront of DL research. BENEFITS Choice of technical or organizational leadership career growth, State-of-the-art technology environment, Innovation, proof-of-concept, and first-article rapid prototype focus, When submitting your application, you’ll have shown you have an eye for detail by including ‘Hydrae’ in your cover letter. Small-team workplace flexibility and work-life balance, Start-up and innovation culture COMPENSATION EngineRoom offers some of highest, and flexible compensation offerings in the global market. We work flexibly at EngineRoom offering a range of balanced options for how, when and where you work.

About the role

Company Description Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney. This role is preferred to be based out of our Sydney office, where the majority of this team is located. Job Description About the Group/Team Canva Research sits within Canva's Generative AI supergroup, home to Canva's original AI research. The Design Generation team's mission is to empower Canva to do AI magic in the design space, building the generative models and techniques that power AI-assisted design creation for hundreds of millions of users. About the Role/Specialty As a Senior Research Scientist on Design Generation, you'll work on the generative modelling problems behind how Canva creates and understands design content. That means training and evaluating design generation models at scale - from wrangling large-scale datasets, crafting training objectives that draw out the most from this data to improve design quality, evaluating them on criteria that users actually care about, and working with product teams to help ship those models to 250M users. You’ll take ownership of scoped research projects end-to-end, from framing an open problem through to a shipped or clearly validated result. What you’ll do (responsibilities) Train and evaluate generative models like LLMs for design generation Design and run experiments to test hypotheses about model architecture, training approach, and data Build and improve evaluation methods and benchmarks for measuring generative design quality Translate research findings into techniques and approaches the team can move toward production Investigate model quality issues, failure modes, and gaps against user and business needs Stay current with generative modelling research and bring relevant advances into the team's work Communicate research findings and trade-offs clearly, including to non-research stakeholders, and share knowledge across the team What we're looking for: You've got hands-on experience training generative models, ideally with exposure to image ordesigngeneration, not just applying pretrained models off the shelf. You're comfortable defining and moving the metrics that matter for generative quality, not just chasing benchmark numbers in isolation. You can take a scoped, often ambiguous research problem from framing to a validated result with minimal guidance, bringing your own judgement to how it should be approached. You're highly autonomous, comfortable with the ambiguity that comes with frontier research, and you want your work to show up in something real people use every day. You've got hands-on, practical experience fine-tuning large language and multimodal models (LLMs/MLLMs) at scale in an industrial research setting. You know the tricks of the trade: wrangling large-scale data pipelines, designing novel training objectives that extract the most from the data to improve design quality, and training and evaluating across multi-GPU setups You've got a PhD in AI, machine learning, or a related field, plus at least two years of strong hands-on industry experience. We will also consider candidates without a PhD, but with at least 6 years of industry experience. A background in diffusion or image generation is a bonus, not a requirement — the core need here is language and multimodal LLM depth What You'll Learn & Build: Deep experience researching and training generative models for design at Canva's scale Exposure to how research, product, and infra decisions intersect across Canva Research and the wider Generative AI supergroup The chance to work on frontier generative modelling problems as the space develops Additional Information Don't tick all the boxes? Don't worry about that - nobody does! We’d still love to hear from you! At Canva, we know that great engineers come from a variety of backgrounds, and we value passion, curiosity, and a willingness to learn just as much as specific experience. If you're excited about this role but don’t tick every box, we encourage you to apply, you might a great fit in ways you didn’t expect! What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out lifeatcanva.com for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. All interviews are conducted virtually

About the role

BreezeBio is a rapidly-growing, early-stage company developing a proprietary and novel delivery platform with the potential to transform genetic medicine. Our interdisciplinary team works together across chemistry, payload design, formulation, and screening and preclinical groups to advance our NanoGalaxy® hydrophilic nanoparticle (HNP) platform toward a pipeline of therapeutic candidates. BreezeBio fosters an exciting and dynamic environment where we value impactful data and creative solutions. We are seeking talented and motivated individuals to join our team as we expand across all functions within the organization. Join us in Brisbane, CA, to be at the forefront of the future of genetic medicine. We are seeking a talented and motivated Researcher to join our Immunology team supporting non-clinical pharmacokinetic (PK), biodistribution, and pharmacodynamic (PD) evaluation of BreezeBio's NanoGalaxy® hydrophilic nanoparticle (HNP) platform for nucleic acid–based therapeutics. This individual will report to the Principal Scientist leading PK Bioanalytical Assays within the Immunology team and will be an individual contributor responsible for developing, executing, and interpreting quantitative bioanalytical and immune-monitoring assays that support IND-enabling non-clinical studies. The ideal candidate will have hands-on experience with quantitative bioanalytical platforms in complex biological matrices, nucleic acid–based PK/biodistribution assays, and pharmacodynamic immune assays, gained in the context of emerging therapeutic modalities such as gene therapy and nucleic acid therapeutics. Individuals with a successful track record of independent bench execution, rigorous data analysis, and teamwork in a fast-paced biotech environment are preferred. Job title and level will be commensurate with the candidate’s depth of scientific expertise and relevant experience. Responsibilities This is primarily a bench-based role (approximately 75% hands-on assay execution), spanning bioanalytical, pharmacokinetics, pharmacodynamic, and biodistribution downstream assays, including: Bioanalytical assay execution: Develop, optimize, and independently execute quantitative bioanalytical assays — RT-qPCR, ELISA, and MSD — to quantify nucleic acid payload and protein analytes in complex biological matrices (serum, plasma, tissue homogenates) supporting PK, biodistribution, and toxicokinetic evaluations of mRNA-HNP and other nucleic acid–based therapeutics. Study design and execution: Contribute to design, protocol development, and execution of in vivo downstream assays for PK, biodistribution, PD, and toxicology studies (Bioanalytical and PD assays) in rodent and other preclinical models supporting IND-enabling programs. Pharmacodynamic assays support: Support executing PD assays integrated with PK sample collection, including multicolor flow cytometry–based immune cell phenotyping, functional assays (e.g., IFNγ ELISpot/FluoroSpot, Treg suppression assays), and cytokine multiplex profiling (MSD, CBA) to characterize antigen-specific immune activation, tolerance, and target engagement across in vivo studies. Method development and rigor: Support bioanalytical method development, qualification, and troubleshooting in alignment with regulatory bioanalytical expectations; maintain assay robustness, reproducibility, and appropriate documentation for regulatory submissions. Data analysis and reporting: Independently analyze, interpret, and summarize PK, biodistribution, and PD data (e.g., non-compartmental PK parameters, tissue distribution profiles, immune modulation endpoints); present results at team, cross-functional, and external meetings. Collaboration and communication: Significant interaction with Discovery Biology team in developing PD and Immune monitoring assays. Work cooperatively with peers across Invivo, and Formulation, in a highly matrixed lab environment; keep detailed and organized lab records/ELN entries. Education and Qualifications Ph.D. or equivalent in Pharmacology, Toxicology, Immunology, Molecular Biology, or a related life science field, with 0–2 years of relevant biotech/pharma industry or postdoctoral experience. Hands-on experience with quantitative bioanalytical assay platforms — RT-qPCR, ELISA, and MSD — in complex biological matrices (serum, plasma, tissue homogenates) is required. Experience with mRNA-LNP biodistribution assays or other nucleic acid–based PK assays (e.g., quantification of mRNA/LNP payload in tissues, ASO/siRNA PK) strongly preferred. Experience working with emerging therapeutic modalities — gene therapy, nucleic acid therapeutics (mRNA, ASO, siRNA) — in an academic, CRO, or industry setting. Hands-on experience with pharmacodynamic and immune-monitoring assays integrated with PK sampling, including: Immune cell phenotyping by multicolor (8 color) flow cytometry. Functional assays such as IFNγ ELISpot/FluoroSpot and Treg suppression assays. Cytokine multiplex profiling (MSD, CBA) and related immune-based readouts. Familiarity with bioanalytical method development/qualification principles (e.g., consistent with FDA/ICH bioanalytical method validation guidance) preferred. Proficiency with relevant data analysis software (e.g., GraphPad Prism, FlowJo, Phoenix WinNonlin) and electronic lab notebook/LIMS systems. Strong written and verbal communication skills, with the ability to present data clearly to cross-functional teams. Work authorization in the US is required. Abilities and Attributes A highly professional, enthusiastic, self-starting, and goal-focused scientist. Intellectually agile, curious, and able to thrive in a fast-paced, dynamic environment. Excels at technical innovation and creative problem solving, prevention, and solution. Open-minded, cooperative, and capable of adapting quickly to shifting program priorities. Experience working collaboratively across functional groups and with external partners (CROs, academic collaborators). Personable, sociable, and eager to help build BreezeBio's culture and future. At BreezeBio we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, veteran status, and any other status. These differences are what enable us to work towards the future we envision for ourselves, and the world. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the role

Lead research applying data science, AI and machine learning to central banking and economic policy questions. Translate innovative research into analytical tools, insights and decision-making for policy makers. Provide technical leadership and build data science capability across the Bank. Are you an experienced data scientist, economist or computational researcher with a strong background in data science techniques? Do you enjoy applying cutting-edge data science, AI and machine learning techniques to answer important economic and policy questions? Join the Reserve Bank of Australia as a Principal Data Scientist in Economic Research, where you will work at the intersection of economics, data science and public policy, leading innovative research, collaborating with economists and policymakers, and helping shape the application of AI and machine learning in central banking. About the team The Data Science Hub, part of the Economic Research Department, is the hub of a vibrant and growing data science community at the Bank. Our work spans policy-relevant research, experimentation with emerging analytical techniques, and the development of tools that support economic analysis and decision making. We are building collaborations with economists, policymakers, technologists and researchers across Australia and internationally. About the role As a Principal Data Scientist at the Reserve Bank of Australia, you will play a leading role in advancing the Bank’s research agenda through the application of data science and AI. You will investigate complex economic and financial questions using traditional and non-traditional data, contribute to research that informs policymaking and help identify new opportunities for data science to deliver outcomes across the Bank. Alongside your research contributions, you will provide technical leadership within the Data Science Hub, mentor staff and help translate promising research into analytical capabilities. What You'll Do Lead and contribute to innovative research applying data science, AI, machine learning and non-traditional data to central banking and economic policy questions. Collaborate with economists and policymakers to develop new approaches for analysing the economy, financial system and broader policy issues. Publish and communicate high-quality research both internally and externally. Translate research outcomes into analytical tools, models and capabilities that support decision making across the Bank. Provide technical leadership and mentoring to data scientists, researchers and analysts across the Bank. Help shape the Bank’s data science, AI and analytical capabilities, including platforms, methodologies and bet practices. About you Demonstrated research capability in data science, economics or a related quantitative field. Strong technical expertise in modern data science and AI methods, including machine learning, statistical modelling, natural language processing, large language models, and associated tools and platforms. Experience applying quantitative methods to complex real-world problems in economics, finance, public policy, business, computational social science, or related fields. Experience producing high-quality research outputs, such as publications, working papers, technical reports, conference or workshop presentations, or other significant analytical contributions. Ability to work effectively across disciplines, bringing together expertise from economics, data science, and policy. Excellent communication skills, with the ability to explain complex technical concepts to non-technical and senior audiences. Experience leading research initiatives, mentoring colleagues and contributing to a collaborative research culture. Familiarity with macroeconomics, financial markets, financial stability, monetary policy frameworks or related areas is highly regarded. A research‑focused postgraduate qualification (e.g. PhD or Master’s by Research), or equivalent research experience, is strongly preferred. Be More Working for an organisation that truly makes a difference to the people of Australia, we can offer development and career opportunities in a collaborative environment that supports your growth, wellbeing and promotes flexibility. Your individual growth and success drives the RBA forward as an organisation. Be more means you can do more, for yourself and for Australia. Why RBA? The RBA makes an important contribution to the Australian economy through the pursuit of national economic policy objectives and associated activities in financial markets and banking. We also issue Australia's banknotes and operate infrastructure critical to the payments system, all of which contribute to the welfare of the Australian people. Made up of specialists across a wide range of fields, our people, values, and culture play a critical role in achieving our objectives. Striving to be Open & Dynamic, we consider and incorporate different perspectives, work across teams and are transparent with each other, whilst delivering quality together effectively and focusing on outcomes by prioritising, testing, learning, and refining as we go. Our people conduct themselves with a high degree of integrity, while striving for excellence in the work they perform and the outcomes they achieve. We encourage intelligent inquiry, and we treat one another with respect while promoting the public interest through our efforts. We know it is the growth and success of our people that drives the RBA forward. Come and make a bigger contribution while you build and develop your own skills too, because being more means you can do more, for yourself and for Australia. The Reserve Bank of Australia is committed to equity, diversity and inclusion through key initiatives. We welcome and encourage applicants from diverse backgrounds to apply, including Aboriginal and Torres Strait Islander peoples, culturally and linguistically diverse background, those living with a disability and from the LGBTQ community. We are committed to making the recruitment process fair and equitable for all our candidates. Application Close : October 27, 2026 .

About the role

Lead research applying data science, AI and machine learning to central banking and economic policy questions. Translate innovative research into analytical tools, insights and decision-making for policy makers. Provide technical leadership and build data science capability across the Bank. Are you an experienced data scientist, economist or computational researcher with a strong background in data science techniques? Do you enjoy applying cutting-edge data science, AI and machine learning techniques to answer important economic and policy questions? Join the Reserve Bank of Australia as a Principal Data Scientist in Economic Research, where you will work at the intersection of economics, data science and public policy, leading innovative research, collaborating with economists and policymakers, and helping shape the application of AI and machine learning in central banking. About the team The Data Science Hub, part of the Economic Research Department, is the hub of a vibrant and growing data science community at the Bank. Our work spans policy-relevant research, experimentation with emerging analytical techniques, and the development of tools that support economic analysis and decision making. We are building collaborations with economists, policymakers, technologists and researchers across Australia and internationally. About the role As a Principal Data Scientist at the Reserve Bank of Australia, you will play a leading role in advancing the Bank’s research agenda through the application of data science and AI. You will investigate complex economic and financial questions using traditional and non-traditional data, contribute to research that informs policymaking and help identify new opportunities for data science to deliver outcomes across the Bank. Alongside your research contributions, you will provide technical leadership within the Data Science Hub, mentor staff and help translate promising research into analytical capabilities. What You'll Do Lead and contribute to innovative research applying data science, AI, machine learning and non-traditional data to central banking and economic policy questions. Collaborate with economists and policymakers to develop new approaches for analysing the economy, financial system and broader policy issues. Publish and communicate high-quality research both internally and externally. Translate research outcomes into analytical tools, models and capabilities that support decision making across the Bank. Provide technical leadership and mentoring to data scientists, researchers and analysts across the Bank. Help shape the Bank’s data science, AI and analytical capabilities, including platforms, methodologies and bet practices. About you Demonstrated research capability in data science, economics or a related quantitative field. Strong technical expertise in modern data science and AI methods, including machine learning, statistical modelling, natural language processing, large language models, and associated tools and platforms. Experience applying quantitative methods to complex real-world problems in economics, finance, public policy, business, computational social science, or related fields. Experience producing high-quality research outputs, such as publications, working papers, technical reports, conference or workshop presentations, or other significant analytical contributions. Ability to work effectively across disciplines, bringing together expertise from economics, data science, and policy. Excellent communication skills, with the ability to explain complex technical concepts to non-technical and senior audiences. Experience leading research initiatives, mentoring colleagues and contributing to a collaborative research culture. Familiarity with macroeconomics, financial markets, financial stability, monetary policy frameworks or related areas is highly regarded. A research‑focused postgraduate qualification (e.g. PhD or Master’s by Research), or equivalent research experience, is strongly preferred. Be More Working for an organisation that truly makes a difference to the people of Australia, we can offer development and career opportunities in a collaborative environment that supports your growth, wellbeing and promotes flexibility. Your individual growth and success drives the RBA forward as an organisation. Be more means you can do more, for yourself and for Australia. Why RBA? The RBA makes an important contribution to the Australian economy through the pursuit of national economic policy objectives and associated activities in financial markets and banking. We also issue Australia's banknotes and operate infrastructure critical to the payments system, all of which contribute to the welfare of the Australian people. Made up of specialists across a wide range of fields, our people, values, and culture play a critical role in achieving our objectives. Striving to be Open & Dynamic, we consider and incorporate different perspectives, work across teams and are transparent with each other, whilst delivering quality together effectively and focusing on outcomes by prioritising, testing, learning, and refining as we go. Our people conduct themselves with a high degree of integrity, while striving for excellence in the work they perform and the outcomes they achieve. We encourage intelligent inquiry, and we treat one another with respect while promoting the public interest through our efforts. We know it is the growth and success of our people that drives the RBA forward. Come and make a bigger contribution while you build and develop your own skills too, because being more means you can do more, for yourself and for Australia. The Reserve Bank of Australia is committed to equity, diversity and inclusion through key initiatives. We welcome and encourage applicants from diverse backgrounds to apply, including Aboriginal and Torres Strait Islander peoples, culturally and linguistically diverse background, those living with a disability and from the LGBTQ community. We are committed to making the recruitment process fair and equitable for all our candidates. Application Close : October 27, 2026 .

About the role

Who You Are You are currently pursuing a PhD at an Australian university, reside in Australia, and have an anticipated graduation date after September 2027. Who We Are Dolby’s Advanced Technology Group in Sydney creates cutting-edge audio, video, and multimodal technologies that drive next generation experiences. Our interests are broad - interactive media using Machine Learning/AI, data science of media, cloud implementations of media processing and delivery, and explorations of audio-video content creation for immersive media such as XR. What’s Involved We will work with you and your PhD supervisor to define a project that relates to your PhD, such that successful completion is not delayed by the internship You will then spend four months with Dolby Australia researchers investigating a cutting-edge topic We highly encourage publication of the results of your project in an appropriate conference or journal You will have the opportunity to work with a diverse global network of Dolby researchers, scientists and creators, and gain a solid understanding of industry-based research This is a paid internship based in our Sydney office, running from May to September 2027. Relocation support is available for those based outside of Sydney. Technical Background AI / Machine learning systems, preferably with application to audio, video, text, and multimedia Human-computer interfaces and AI applications Multimodal / cross-modal representation learning Trustworthy and explainable AI Generative AI for media creation Spatial computing for 6DoF multimedia Multimodal and immersive audio and video creation 3D deep learning (including NeRF, Gaussian Splatting, etc.) Example Project Areas Live events or sports Data provenance, attribution, and authenticity Controllable generation of audio, video, textual, or multimedia content Multimodal experience creation Future devices (e.g., smart glasses and holographic displays) Next-generation entertainment experiences in automotive These points are examples. We are actively looking for new ideas, and if your research project does not fall precisely in the above categories, please still consider applying. For example, if you are doing a PhD in quantum computing algorithms with AI or a project that involves user interfaces with robots or Internet of Things applications - come tell us about it, because we are flexible! Skills and Specialty Areas We are interested in PhD research candidates from Computer Science, Electrical Engineering, Science, Music Technology, Media Technology, or Media Content Creation. We are not prescriptive of skill sets, but it is useful if the research intern has ability in using appropriate tools e.g., a project in machine learning may require programming in Python or MATLAB, or a project in XR creation may use Max/MSP or Final Cut / Logic Pro. Most importantly, we are looking for the ability to creatively explore and design experiments to uncover new and interesting learnings in media.

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Faculty of Science Full-time, continuing position. Base salary will be in the range $97,268 - $104,348 17% super (HEW Level 6). Join our Gatton Campus community – take a virtual tour ! About This Opportunity Join a collaborative, supportive and purpose-driven team within the Faculty of Science Infrastructure & Facilities portfolio. As a Senior Facilities Officer, you will play a vital role in maintaining and enhancing the physical environments that underpin world-class teaching, research and operational excellence. Based at UQ's Gatton Campus , you will work closely with stakeholders across the School of Veterinary Science, Agricultural and Food Sciences (AGFS), Gatton Farm operations and the broader Faculty of Science. Supporting a diverse range of facilities and stakeholders, you will provide trusted facilities expertise, coordinate infrastructure and maintenance activities, and help ensure staff, students and industry partners can thrive in safe, functional and innovative spaces. This hands-on role offers the opportunity to make a meaningful impact across one of Australia's leading veterinary, agricultural and animal science precincts. Working across Agricultural and Food Sciences, Gatton Farm operations and veterinary facilities, you'll contribute to the success of teaching, research and industry engagement activities that support both the University and the wider community. Whether you're looking for a tree change, seeking genuine work-life balance, or are motivated by contributing to education, research and innovation, you'll enjoy being part of a collaborative team and welcoming rural community. Flexible start and finish times may be available , subject to operational requirements. This role provides the opportunity to enjoy more of what matters outside of work while building a rewarding career at UQ Gatton, where a unique blend of rural lifestyle, supportive community and world-class education and research facilities creates an exceptional place to live and work. Key responsibilities will inclu de: Coordinating facilities maintenance activities through inspections, issue identification, contractor engagement and timely resolution of infrastructure matters. Supporting infrastructure and capital projects through planning, stakeholder consultation, project coordination and defect management. Managing assets, equipment records, local databases and facilities systems to support operational excellence and informed decision-making. Coordinating space allocation, access control and facilities operations to ensure efficient, safe and compliant use of Faculty spaces. About You To be successful in this role, you will bring: A relevant degree with subsequent experience, or an equivalent combination of relevant skills, knowledge, experience and education/training. Experience coordinating small facilities or infrastructure projects, including managing competing priorities, timelines and budgets. Strong customer service, interpersonal and stakeholder engagement skills, with the ability to build effective working relationships and resolve issues in a timely manner. Excellent organisational, communication and problem-solving skills, with strong attention to detail. Sound knowledge of mechanical and hydraulic systems within a scientific, research or technical environment. The ability to interpret scientific or technical requirements relating to equipment, facilities or infrastructure, and communicate these effectively to both technical and non-technical stakeholders. Demonstrated ability to work independently, exercise initiative and judgement, and deliver practical solutions. Demonstrated computer literacy and skills in Microsoft Office suite of products. Experience in a higher education, research, scientific or similarly complex operational environment will be highly regarded. About UQ As part of the UQ community, you’ll have the opportunity to work alongside the brightest minds, who have joined us from all over the world, working together to create a better world. Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as: Free parking and intercampus bus On campus childcare , medical clinic, and post office Up to 26 weeks paid parental leave/paid primary care leave 17% superannuation contributions 17.5% annual leave loading Health and wellness discounts: fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family Career development opportunities: access to exclusive internal-only vacancies and our Study for Staff program 25% discount on eligible UQ Vets services Access to our $4.1 million UQ Sports facility Interested? For more information about this opportunity, please contact Ricard Marnewick [email protected] . For application inquiries, please reach out to the Talent Acquisition team at [email protected] , stating the job reference number (below) in the subject line. When you apply, please ensure you upload a resume and cover letter summarizing how your background aligns to the ‘About You’ section. Please note that applications received via email will not be accepted. Other Information Pre-employment checks may include: verification of the right to work in Australia. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements. You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment. We're dedicated to equity, diversity, and inclusion . We recognise that career pathways and opportunities differ, and encourage applications from candidates who may not meet every criteria but can demonstrate their potential relative to opportunity. We’re also happy to support any accessibility needs throughout the recruitment process. Just let us know how we can help by emailing [email protected] or calling 61 7 3365 2623. Applications close Tuesday 13 October 2026 at 11.00pm AEST (R-67860).

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Forensic Science Queensland | Department of Justice Coopers Plains, Brisbane Forensic Science Queensland is seeking an accomplished forensic science leader to step into the pivotal role of Executive Manager – Forensic Innovation, Validation and Research . This is an opportunity to lead a strategically important function responsible for strengthening scientific validation, driving innovation and research and supporting the continued development of high-quality forensic services across both Forensic Biology and Forensic Chemistry. Leading a specialist scientific team, you will provide strategic leadership and oversight of validation and verification activities across FSQ, ensuring new and existing methodologies, technologies, systems and processes are scientifically robust, operationally fit for purpose and aligned with accreditation and quality requirements. You will lead complex scientific and innovation projects from concept through to implementation, bringing together rigorous scientific practice, effective governance and a clear focus on measurable operational outcomes. A key initial priority will be strengthening FSQ’s approach to validation and verification and ensuring robust frameworks and procedures are embedded across operational services. Beyond this, the role presents an opportunity to help shape the future direction of forensic science in Queensland – building research capability, identifying emerging technologies and methodologies, strengthening external partnerships and helping position FSQ as a recognised centre of excellence. The successful candidate will bring demonstrated leadership experience within forensic science and a strong understanding of the realities of operational forensic service delivery. You may bring specialist expertise from either forensic biology or forensic chemistry; importantly, you will have the breadth and credibility to work across disciplines and collaborate effectively with FSQ’s operational leaders and scientific specialists. You will combine scientific expertise with strategic thinking, strong project leadership and the ability to translate research and innovation into practical improvements within an operational forensic environment. This role requires an influential communicator and relationship builder who can establish strong partnerships across FSQ, government, forensic science providers, research institutions and professional bodies. You will be comfortable leading through change, building capability and creating an environment in which scientific rigour, collaboration, innovation and continuous improvement can thrive. Working within Forensic Science Queensland means contributing to work of genuine significance. FSQ provides specialised forensic biology and chemistry services supporting Queensland’s criminal justice and coronial systems and this role offers the opportunity to influence how those services evolve – ensuring current practices are scientifically sound while creating the connections, capability and frameworks required to meet future forensic challenges. Mandatory requirements include a bachelor’s degree or higher in forensic science, science or a relevant field from a recognised tertiary institution. Relevant postgraduate research qualifications and a record of contribution to forensic science research will be highly regarded. For a confidential discussion, contact Linda Parker at Eden Ritchie Recruitment on 0400 003 793 or [email protected] For more information, or to apply, please visit https://edenritchie.com.au/em-forensic-innovation-validation-research/ Applications close Tuesday 20th October 2026.

About the role

Job Description Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Alongside our global campuses, we also collaborate with talented contractors and freelancers from all over the world to help us achieve our crazy big goals. While we support flexible, remote-friendly ways of working, for this role we’re focusing on Sydney/Melbourne so we can best support our teams and keep collaboration flowing. This is a 6-month engagement working full time hours. What you'd be doing As Canva scales, change continues to be part of our DNA — and nowhere is that more exciting than in AI. We’re building world-leading visual AI, and this role plays a critical part in making that happen. You’ll sit at the intersection of design, data, and AI research , bringing world-class visual judgment into the model training and evaluation loop. In a Core Research environment, your work will materially strengthen the feedback systems that push our models toward premium, intuitive, and globally competitive performance. At the moment, this role is focused on: • Annotating and labeling large volumes of visual data — including images, UI layouts, compositions, graphics, and photography — with high precision • Evaluating AI-generated outputs for aesthetic quality, composition, accessibility, usability, and brand alignment • Developing visual scoring rubrics and structured evaluation frameworks to guide model improvement • Identifying patterns, failure modes, and edge cases to help improve model performance • Translating nuanced design critique into structured, actionable feedback for ML engineers and research scientists • Using generative AI tools to prototype workflows, test hypotheses, and creatively explore model behaviors • Contributing to the development of taxonomies for visual styles, attributes, and design patterns • Maintaining high standards of data quality and documentation across annotation projects You're probably a match if • You have strong design fundamentals — composition, color theory, typography, layout, hierarchy, and storytelling are second nature to you • You have a portfolio that demonstrates visual excellence across graphic design, product design, UI/UX, illustration, or related domains • You’re familiar with generative AI tools and understand how training data and annotation influence model behavior • You can evaluate visual outputs with precision and clearly articulate structured, repeatable feedback • You’re comfortable working in documentation-heavy, cross-functional environments • You’re excited by the idea of shaping how AI models “see” and “create” Bonus points if you have: • Experience with Figma, Adobe Creative Cloud, or 3D tools • Prior annotation, data labeling, or ML operations experience • Basic familiarity with Python, prompt engineering, or dataset tooling • Knowledge of accessibility guidelines (e.g. WCAG), usability heuristics, or user research About the team This role sits within Content Studio in the Content & Discovery Supergroup — the team focused on empowering the world through world-class content. We combine creativity, research, and technology to ensure Canva delivers visually outstanding, accessible, and globally relevant design experiences. As Canva accelerates its AI capabilities, Content Studio plays a key role in embedding design excellence directly into model development. You’ll collaborate with researchers, ML engineers, product managers, and designers to ensure Canva’s visual AI feels premium, human-centered, and unmistakably Canva. Check out lifeatcanva.com for more info. Portfolio Assessment To be considered, please include a portfolio that showcases your strong graphic design craft and hands-on visual AI work — from AI-generated imagery and prompt experimentation to creating content at scale, assessing quality and improving outputs through annotation, evaluation or model-training workflows. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. Please note that interviews are conducted virtually.

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Job Description: Australian Citizens residing in Australia only respond. Job Details: The Department of Industry, Science and Resources (DISR) strives to encourage the sustainable growth of Australian industries including the delivery of a national innovation system to drive knowledge creation, international competitiveness and greater productivity. Our staff are committed to developing policies and delivering programs, in partnership with stakeholders, to provide lasting economic benefits based on principles of social justice and equity for all Australians.The CIO Division provides a range of enabling services and operations delivery to the department and to Australian businesses, and are seeking experienced and motivated Project Managers to assist with major ICT Projects in the Division. Key duties and responsibilities Project Managers will be required to: Build and maintain relationships with internal and external stakeholders, including business partners, cross-agency collaborations and service providers. Research, plan, implement, monitor and evaluate project or program initiatives. Negotiate and engage with ensure effective communication, coordination and stakeholders to collaboration for timely and successful outcomes. Identify and resolve project-related issues and challenges. Provide management, coordination, governance and assurance of complex projects. Work collaboratively with cross-functional teams in an agile environment to deliver agreed outcomes. Represent the team and branch in project governance meetings and provide clear up to date reports on status and the implications of risks on projects to ensure the success of projects. Oversee project resources to ensure a high performing, motivated and well-developed team that delivers results. Use project management tools to drive successful outcomes, covering areas such as risk management, quality management, financial management, procurement, strategy, resource management, project briefs and post-implementation reviews. Required Skills: Briefs Financial Management Resource Management Service Providers Operations Quality Management Collaboration Assurance Effective Communication Reviews Agile Risk Management Strategy Procurement Research Business Science Project Management Communication Management

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Account Manager – Geoscience (m/f/*) Quaisr is looking for an Account Manager – Geoscience to own relationships with Tier 1 and Tier 2 mining and resources clients across Australia. You'll be the primary point of contact for key accounts, driving engagement, identifying growth opportunities, and ensuring clients get full value from our platform. This is a hybrid Melbourne-based role suited to someone with a geoscience background and a strong commercial instinct. Who we are At Quaisr, our mission is to unlock interactive digital twins: mission-critical replicas of physical systems, backed by online data streams, simulation and machine-learning. We are building out what will become the leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the fast-moving consumer goods, defence and energy sectors. Where we operate We maintain a physical office in London (White City), with our Australian operations based in Melbourne. This position supports flexible working and is available full time in Melbourne, Australia. Hours We offer 25 days paid annual leave, excluding Australian public holidays. We support flexible working hours with a cap on total weekly hours. We have one hour of reserved time per week for international standup calls, though we schedule this with care around time zone differences and personal commitments. What you will do As Account Manager – Geoscience you will be responsible for: ● (50%) Owning day-to-day relationships with key accounts across Tier 1 and Tier 2 mining and resources clients in Australia, acting as the primary point of contact for project updates, deliverable timelines, client queries and issue resolution; ● (20%) Running regular client check-ins and business reviews to maintain strong engagement, identify risks early, and ensure clients are realising full value from our platform; ● (20%) Identifying upsell and expansion opportunities within existing accounts, collaborating with the technical team to scope new work, and representing Quaisr at industry events and site visits; ● (10%) Maintaining accurate records of all client interactions and account activity using CRM software. Who you are Must have: ● Undergraduate degree in Earth Sciences, Geology, Geophysics, or a related geoscience discipline; ● Postgraduate qualification (Masters preferred, PhD highly regarded); ● Demonstrated experience in the mining, resources, or geoscience services sector, with the ability to speak the language and understand the workflows; ● Strong written and spoken communication skills, confident engaging with both technical and commercial stakeholders; ● Excellent interpersonal skills and ability to quickly build trust and rapport with clients; ● Strong drive and ability to manage multiple accounts simultaneously with a high degree of autonomy. Nice to have: ● Existing network within Tier 1 Australian mining and resources companies; ● Experience working in or with geoscience consulting, software, or data services environments; ● Familiarity with exploration, resource estimation, or subsurface data workflows; ● Experience with CRM software and/or content generation for technical audiences. What we offer ● Salary range of AUD $120k to $145k; ● Access to a collaborative, technically specialised team doing high-impact work in the geoscience and digital twin space; ● Direct exposure to some of the world's largest mining operations; ● Real autonomy to own your accounts, with the full support of a strong technical team behind you; ● Clear scope for the role to grow as the Australian business grows. ● Opportunities to present at technical conferences Our hiring process 1. (30 mins) Introductory call with our team. A chance to learn about Quaisr, understand the Australian opportunity, and for us to get to know your background and experience. 2. (60 mins) In-depth interview with our technical and commercial leads. We will explore your geoscience background, client management experience, and how you approach building relationships in a technical sales environment. 3. (30 mins) Final conversation with senior leadership. A chance to discuss fit, expectations and next steps on both sides. Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing: if you have a compelling interest in our mission and wish to propose a role that more closely matches your skill set, please get in touch.

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BreezeBio is a rapidly-growing, early-stage company developing a proprietary and novel delivery platform with the potential to transform genetic medicine. Our interdisciplinary team works together across chemistry, payload design, formulation, and screening and preclinical groups to advance our NanoGalaxy® hydrophilic nanoparticle (HNP) platform toward a pipeline of therapeutic candidates. BreezeBio fosters an exciting and dynamic environment where we value impactful data and creative solutions. We are seeking talented and motivated individuals to join our team as we expand across all functions within the organization. Join us in Brisbane, CA, to be at the forefront of the future of genetic medicine. We are seeking a talented and motivated Researcher to join our Immunology team supporting non-clinical pharmacokinetic (PK), biodistribution, and pharmacodynamic (PD) evaluation of BreezeBio's NanoGalaxy® hydrophilic nanoparticle (HNP) platform for nucleic acid–based therapeutics. This individual will report to the Principal Scientist leading PK Bioanalytical Assays within the Immunology team and will be an individual contributor responsible for developing, executing, and interpreting quantitative bioanalytical and immune-monitoring assays that support IND-enabling non-clinical studies. The ideal candidate will have hands-on experience with quantitative bioanalytical platforms in complex biological matrices, nucleic acid–based PK/biodistribution assays, and pharmacodynamic immune assays, gained in the context of emerging therapeutic modalities such as gene therapy and nucleic acid therapeutics. Individuals with a successful track record of independent bench execution, rigorous data analysis, and teamwork in a fast-paced biotech environment are preferred. Job title and level will be commensurate with the candidate’s depth of scientific expertise and relevant experience. Responsibilities This is primarily a bench-based role (approximately 75% hands-on assay execution), spanning bioanalytical, pharmacokinetics, pharmacodynamic, and biodistribution downstream assays, including: Bioanalytical assay execution: Develop, optimize, and independently execute quantitative bioanalytical assays — RT-qPCR, ELISA, and MSD — to quantify nucleic acid payload and protein analytes in complex biological matrices (serum, plasma, tissue homogenates) supporting PK, biodistribution, and toxicokinetic evaluations of mRNA-HNP and other nucleic acid–based therapeutics. Study design and execution: Contribute to design, protocol development, and execution of in vivo downstream assays for PK, biodistribution, PD, and toxicology studies (Bioanalytical and PD assays) in rodent and other preclinical models supporting IND-enabling programs. Pharmacodynamic assays support: Support executing PD assays integrated with PK sample collection, including multicolor flow cytometry–based immune cell phenotyping, functional assays (e.g., IFNγ ELISpot/FluoroSpot, Treg suppression assays), and cytokine multiplex profiling (MSD, CBA) to characterize antigen-specific immune activation, tolerance, and target engagement across in vivo studies. Method development and rigor: Support bioanalytical method development, qualification, and troubleshooting in alignment with regulatory bioanalytical expectations; maintain assay robustness, reproducibility, and appropriate documentation for regulatory submissions. Data analysis and reporting: Independently analyze, interpret, and summarize PK, biodistribution, and PD data (e.g., non-compartmental PK parameters, tissue distribution profiles, immune modulation endpoints); present results at team, cross-functional, and external meetings. Collaboration and communication: Significant interaction with Discovery Biology team in developing PD and Immune monitoring assays. Work cooperatively with peers across Invivo, and Formulation, in a highly matrixed lab environment; keep detailed and organized lab records/ELN entries. Education and Qualifications Ph.D. or equivalent in Pharmacology, Toxicology, Immunology, Molecular Biology, or a related life science field, with 0–2 years of relevant biotech/pharma industry or postdoctoral experience. Hands-on experience with quantitative bioanalytical assay platforms — RT-qPCR, ELISA, and MSD — in complex biological matrices (serum, plasma, tissue homogenates) is required. Experience with mRNA-LNP biodistribution assays or other nucleic acid–based PK assays (e.g., quantification of mRNA/LNP payload in tissues, ASO/siRNA PK) strongly preferred. Experience working with emerging therapeutic modalities — gene therapy, nucleic acid therapeutics (mRNA, ASO, siRNA) — in an academic, CRO, or industry setting. Hands-on experience with pharmacodynamic and immune-monitoring assays integrated with PK sampling, including: Immune cell phenotyping by multicolor (8 color) flow cytometry. Functional assays such as IFNγ ELISpot/FluoroSpot and Treg suppression assays. Cytokine multiplex profiling (MSD, CBA) and related immune-based readouts. Familiarity with bioanalytical method development/qualification principles (e.g., consistent with FDA/ICH bioanalytical method validation guidance) preferred. Proficiency with relevant data analysis software (e.g., GraphPad Prism, FlowJo, Phoenix WinNonlin) and electronic lab notebook/LIMS systems. Strong written and verbal communication skills, with the ability to present data clearly to cross-functional teams. Work authorization in the US is required. Abilities and Attributes A highly professional, enthusiastic, self-starting, and goal-focused scientist. Intellectually agile, curious, and able to thrive in a fast-paced, dynamic environment. Excels at technical innovation and creative problem solving, prevention, and solution. Open-minded, cooperative, and capable of adapting quickly to shifting program priorities. Experience working collaboratively across functional groups and with external partners (CROs, academic collaborators). Personable, sociable, and eager to help build BreezeBio's culture and future. At BreezeBio we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, veteran status, and any other status. These differences are what enable us to work towards the future we envision for ourselves, and the world. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Role type: Full-time; Fixed-term until August 2027 Faculty: Medicine, Dentistry and Health Sciences Department/School: Centre for Youth Mental Health Salary: Level B: AUD $124,656 - $148,023 p.a. plus 17% super Lead cutting-edge youth mental health data science / contribute to NIH-funded global psychosis research / build a strong academic profile Apply now to shape predictive models that improve outcomes for young people at ultra-high risk of psychosis. Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunity You will join the Ultra High Risk for Psychosis team at the Centre for Youth Mental Health. You will lead advanced statistical and machine learning analyses to uncover trajectories and predictors in young people. You will contribute to high-impact publications and global collaborations across NIH, MRFF and CRE-funded projects. What you will deliver: Lead statistical analyses of UHR and related datasets, generating robust insights into youth mental health outcomes. Develop and evaluate machine learning models for prediction, clustering and identification of clinically meaningful subgroups. Undertake data wrangling, entry, cleaning and management using R and associated analytical tools. Prepare analysis plans, reports and manuscripts, contributing to peer-reviewed publications and grant applications. Engage actively in project meetings, presentations and dissemination activities within Orygen and partner institutions. You may be a great fit if you: Hold a Master or PhD in biostatistics, statistics, data science or a related quantitative discipline. Demonstrate strong experience applying research methodologies and quantitative analyses to complex health or behavioural data. Bring proven expertise in developing and applying machine learning models for clustering and prediction tasks. Possess highly developed R programming skills, including data wrangling, modelling, simulation and visualisation. Manage competing priorities effectively, meeting project deadlines while working both independently and collaboratively within teams. Communicate complex statistical concepts clearly to colleagues and stakeholders with varying levels of technical understanding For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including: Build future financial security with 17% superannuation Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team – Centre for Youth Mental Health You will join the Centre for Youth Mental Health, co-located with Orygen, a world-leading youth mental health organisation. The Ultra High Risk for Psychosis team brings clinicians, neuroscientists and data scientists together to transform early intervention. You will work in a collaborative, multidisciplinary environment with strong mentoring, global partnerships and clear academic career pathways. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process . Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at [email protected] . Application essentials: Visit "apply with us" to learn more about the process, including tips and FAQs. You must have current valid work rights for Australia. Visa sponsorship is not available for this role. A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you. Please upload your resume and a cover letter outlining your interest and experience as part of the application process. Please upload your responses to the Selection Criteria, found in the Position Description below. Want to know more? For queries related to this specific position, contact Barnaby Nelson at [email protected] For questions related to our recruitment process email Vanessa Phan at [email protected] For recruitment adjustments contact Kim Groizard on 61 3 9035 3218 or at [email protected] (subject: 'Recruitment Adjustments'). Apply today, and join a community that’s shaping the future. Applications close: 9 October 2026 at 11:55 PM; Melbourne time zone. Position Description: PD_JR-018490 Research Fellow – Data Scientist, Biostatistician.docx PD_JR-018490 Research Fellow – Data Scientist, Biostatistician.pdf

About the role

Overview In the Microsoft Frontier Company Engineering team, you won’t just build software; you’ll deliver real outcomes for some of the world’s most complex organizations. We are a global team of world-class engineers who have been working in a Forward Deployed Engineering (FDE) model for more than a decade, embedding directly within customer teams to solve their toughest challenges, side-by-side, and shipping production-ready solutions in days, not months. As a Senior Account-Aligned FDE Data Scientist , you will be a customer embedded engineer to serve as the primary technical leader aligned to a strategic account, driving business outcomes through hands on execution and multidisciplinary expertise. In this role, you will build and ship production grade solutions, work directly with customers to translate business needs into clear technical approaches, and operate with speed in complex, fast moving environments. This is a senior individual contributor role requiring demonstrable technical depth, credibility with senior stakeholders, industry context, and an entrepreneurial approach to navigating ambiguity and delivering sustained impact over time. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Drive customer outcomes by shaping opportunities and translating business needs into clear, actionable technical approaches Build and deliver production-grade solutions in customer environments, demonstrating robust engineering execution and end-to-end ownership Accelerate time to value by operating effectively in ambiguity and delivering iterative, high-impact solutions Engage and influence senior stakeholders to build trust, align priorities, and guide technical and business decision-making Apply industry and customer context to tailor solutions and move beyond generic approaches Prepare and transition work to FDE crews with clear scope and solid technical direction, maintaining continuity across the engagement lifecycle Operate with an entrepreneurial mindset to navigate complex account dynamics, set boundaries, and drive urgency and accountability. Qualifications Required/Minimum Qualifications (RQs/MQs) Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10 years data science experience (e.g., managing structured and unstructured data, applying s statistical techniques and reporting results) OR equivalent experience. 5 years customer-facing, project-delivery experience, professional services, and/or consulting experience. Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end. Additional or Preferred Qualifications (PQs) Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end. Enjoy travel and are comfortable with travel up to 25% FDE This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Summary: We are seeking a dedicated Finance Manager to join our team in Tennyson, Queensland. This permanent, full-time position is crucial for overseeing financial operations within our science and research sector. The Finance Manager will play a key role in ensuring financial integrity, providing strategic insights, and supporting the overall financial health of the organisation. Responsibilities: Manage and oversee the financial planning and analysis processes. Prepare and present financial reports to senior management and stakeholders. Ensure compliance with financial regulations and standards. Develop and implement financial strategies to support organisational goals. Monitor cash flow and manage budgeting processes. Payroll Processing Lead and mentor the finance team, fostering a culture of continuous improvement. Collaborate with other departments to provide financial insights and support decision-making. Qualifications: Bachelor’s degree in Finance, Accounting, or a related field. Professional qualification such as CPA, CA, or ACCA is preferred. Minimum of 5 years of experience in finance management, preferably in the science or research industry. Strong analytical skills with the ability to interpret complex financial data. Excellent communication and interpersonal skills. Proficiency in financial software and Microsoft Excel. Demonstrated leadership abilities and experience in team management.

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Full time continuing position available Exciting opportunity for a Lecturer to contribute to teaching and research within the Discipline of Behavioural and Social Sciences in Health within in The Sydney School of Health Sciences Base Salary ranging from $132,533- $187,198 17% superannuation About the opportunity The Sydney School of Health Sciences is in a period of exciting and significant investment by the Faculty of Medicine and Health. In order to deliver on the University’s ambitious strategic plan, the University is seeking academics who are passionate about improving health outcomes and/or health equity in the local, national and global communities, who are committed to teaching and research, and area team player ready to contribute across the broad field of academic activities. The Discipline of Behavioural and Social Sciences in Health (BSSH) brings a social science perspective to understanding health and healthcare, exploring the social, cultural, economic and political factors that influence health outcomes and contribute to inequities. The University is seeking to employee a Lecturer/ Senior Lecturer ( Level B or Level C - Teaching and Research) to play a key role in advancing the discipline's strategic focus on health equity, social determinants of health, health services research and research methods education. Working within a collaborative and interdisciplinary environment, the successful candidate will contribute to innovative teaching, impactful research and strong partnerships across the University and external health sectors. This is a continuing full time 40% (teaching), 40% (research), and 20% (service) position, and offers an opportunity to develop and contribute to research and teaching in The Discipline of Behavioural and Social Sciences in Health (BSSH) as part of a multi-disciplinary team at the Faculty of Medicine and Health. Your key responsibilities will be to: Design, coordinate and deliver high-quality teaching across quantitative, qualitative and mixed-methods research approaches Contribute to research methods education across undergraduate, honours and postgraduate programs Coordinate units of study, including assessment design, moderation, quality assurance and management of teaching teams Supervise honours students and contribute to the supervision of Higher Degree by Research (HDR) candidates Support curriculum development, review and integration of research methods teaching across the School Maintain an active and impactful research program aligned with the Discipline's strategic priorities Contribute to research funding applications, scholarly publications and collaborative research initiatives Provide research methods advice and capacity-building opportunities for students and academic colleagues Collaborate with allied health, clinical and interdisciplinary teams to enhance teaching and research outcomes Participate in academic service activities, including committees, student advising, outreach and community engagement. About you Demonstrated experience teaching university-level research methods across quantitative methodologies Experience in curriculum design, unit coordination and assessment development within higher education Proven ability to supervise or support student research projects at honours and/or postgraduate level Strong knowledge of research design, statistical analysis, quantitative methodologies and mixed-methods approaches Established or emerging research profile, including peer-reviewed publications and research collaborations Experience securing or contributing to competitive research funding is highly desirable Excellent written, verbal and interpersonal communication skills, with the ability to explain complex methodological concepts to diverse audiences Commitment to equity, social justice and culturally safe teaching and research practices Demonstrated ability to work collaboratively across disciplinary boundaries and contribute positively to an academic team Ability to engage and support students from diverse backgrounds, including those with limited confidence in research methods and statistics Commitment to continuous improvement, innovation in teaching, and the broader academic life of the Discipline, School and Faculty. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion , evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People , women , people living with a disability , people from culturally and linguistically diverse backgrounds , and those who identify as LGBTQIA . We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion . How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. To submit an application for this role please provide the following information: 1. A cover letter which includes a written response to selection criteria addressing your ability to meet the requirements outlined above within the context of the key responsibilities of the role and relevant discipline (maximum 1000 words). 3. Your current CV or resume, including two referees. Please ensure your cover letter is clear, concise, addressing the selection criteria and states the type of employment in which you are applyin g. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Rachel Yazigi, Recruitment Operations by email to [email protected]. © The University of Sydney The University reserves the right not to proceed with any appointment. Applications Close Sunday 25 October 2026 11:59 PM

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Expressions of Interest — Research and Development Team — Systematic Hedge Fund Thank you for your interest in AE Capital. We’re always keen to hear from outstanding talent, even outside of an active hiring round. If you’re interested in joining a systematic hedge fund that trades FX and Futures markets through a combination of top-down fundamental research, machine learning and rigorous quantitative modelling, we’d love to hear from you. About Us AE Capital is a team of market specialists, data scientists and engineers. Our team applies top-down fundamental analysis, machine learning and software engineering to financial markets. We build systematic trading strategies for clients worldwide, grounded in a deep understanding of the fundamental drivers behind economies, industries and markets — and how that evolves over time. About You You’re articulate, intelligent, naturally inquisitive, and thrive in environments that encourage new ideas and value thought leadership. We welcome interest from a range of backgrounds, including: Recent graduates with a Bachelors, Masters or PhD in Physics, Atmospheric Science, Mathematics, Computer Science, Engineering or an equivalent STEM discipline Software engineers Quantitative developers Computer scientists Research scientists Typical Roles at AEC The research and development team falls into three camps: Software engineering — owning important components of our trading, data and infrastructure platforms Quantitative development — building research platforms, model infrastructure, data pipelines and back-testing tools Quantitative analysis — analysing market and trading data, testing hypotheses and contributing to the prediction of financial markets We’re happy to consider both entry-level and experienced applicants. Previous finance or trading experience is not essential. Full working rights in Australia required. Sponsorship is not available. Our Hiring Process While we don’t currently have a specific vacancy open, when a role does arise our process typically moves quickly: A technical screen A whiteboard session A team conversation Register Your Interest If you’re accountable, professional, and want to work with some of the brightest people in the business on genuinely hard problems, we encourage you to register your interest.

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What if behavioural science didn’t stop at the research deck? This fast-growing consultancy and technology business is rethinking how organisations understand customers, identify behavioural barriers and turn insight into action. Blending commercially applied behavioural science, rigorous research and AI-powered technology , they work with major enterprise brands across financial services, FMCG, retail, e-commerce and beyond. They’re now looking for a Senior Behavioural Scientist to play a pivotal role in the next stage of their growth. The opportunity This is a senior, hands-on consulting role for someone who loves getting underneath a client problem. You’ll work closely with senior marketing and business leaders to uncover what is really driving behaviour, design the right research response and translate evidence into clear behavioural interventions, communications and action. Rather than research ending with recommendations, you’ll help take the thinking through to execution – connecting customer understanding with prioritisation, messaging, content and behaviour change. You’ll be involved in: Diagnosing complex customer and commercial challenges Designing robust quantitative, qualitative and mixed-method research Leading behavioural science and customer insight projects end-to-end Interpreting research and technology-generated outputs with depth and rigour Identifying barriers, motivations, emotional territories and behavioural opportunities Turning insight into practical interventions and strategic recommendations Presenting to senior clients and managing multiple relationships and projects Working closely with engineering, analytics, research and marketing specialists Contributing commercially through relationships, opportunities and new business About you You’re an experienced behavioural scientist, researcher or consultant with deep expertise in consumer behaviour and commercially applied behavioural science . You’ll bring strong research design capability – particularly quantitative – alongside the ability to work across qualitative thinking when required. Just as importantly, you’re someone who can wear the consulting hat: asking the difficult questions, challenging the brief and helping clients understand the problem they actually need to solve. You’ll be: Highly credible and confident with senior clients Comfortable staying close to delivery and being hands-on with the work Obsessed with depth, quality and understanding customer pain points Commercially minded, with an existing network or appetite for business development Organised enough to juggle multiple complex client engagements Curious about AI and already using – or genuinely excited to embrace – new AI tools This is a rare opportunity to join an entrepreneurial business sitting at the intersection of behavioural science, consulting, AI and marketing technology – and help shape what that next generation of insight and behaviour change looks like. Interested? Send your CV to [email protected] About Resources Group We are the Leading Global Talent Agency for Insights, Analytics & Data Strategy. Our consultants take the time to truly understand your career aims and are dedicated to providing tailored, impartial advice to find you the very best career move. We have access to an unrivalled and exclusive range of job opportunities with trailblazing agencies and blue-chips across Australia, NZ and APAC. Resources Group’s Diversity and Equality Policy determines that we submit applicants to our clients on the basis of merit and ability, regardless of race, colour, age, disability, family responsibilities, gender, marital status, nationality, religious or political views or affiliations, sexual orientation or socio-economic background.

About the role

Overview In the Microsoft Frontier Company Engineering team, you won't just build software; you'll deliver real outcomes for some of the world's most complex organizations. We are a global team of world-class engineers who have been working in a Forward Deployed Engineering (FDE) model for more than a decade, embedding directly within customer teams to solve their toughest challenges, side-by-side, and shipping production-ready solutions in days, not months. As a Senior Account-Aligned FDE Data Scientist , you will be a customer embedded engineer to serve as the primary technical leader aligned to a strategic account, driving business outcomes through hands on execution and multidisciplinary expertise. In this role, you will build and ship production grade solutions, work directly with customers to translate business needs into clear technical approaches, and operate with speed in complex, fast moving environments. This is a senior individual contributor role requiring demonstrable technical depth, credibility with senior stakeholders, industry context, and an entrepreneurial approach to navigating ambiguity and delivering sustained impact over time. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Drive customer outcomes by shaping opportunities and translating business needs into clear, actionable technical approaches Build and deliver production-grade solutions in customer environments, demonstrating robust engineering execution and end-to-end ownership Accelerate time to value by operating effectively in ambiguity and delivering iterative, high-impact solutions Engage and influence senior stakeholders to build trust, align priorities, and guide technical and business decision-making Apply industry and customer context to tailor solutions and move beyond generic approaches Prepare and transition work to FDE crews with clear scope and solid technical direction, maintaining continuity across the engagement lifecycle Operate with an entrepreneurial mindset to navigate complex account dynamics, set boundaries, and drive urgency and accountability. Qualifications Required/Minimum Qualifications (RQs/MQs) Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10 years data science experience (e.g., managing structured and unstructured data, applying s statistical techniques and reporting results) OR equivalent experience. 5 years customer-facing, project-delivery experience, professional services, and/or consulting experience. Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end. Additional or Preferred Qualifications (PQs) Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end. Enjoy travel and are comfortable with travel up to 25% \FDE This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (https://careers.microsoft.com/v2/global/en/accessibility.html)

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Frazer Institute Full-time, fixed-term position until December 2028 Base salary will be in the range $85,372 - $113,659 17% super (Academic Level A) Based at our Dutton Park Campus About This Opportunity Join a visionary and collaborative research team driving world-leading advances in melanoma and skin cancer research. Working at the intersection of data science, artificial intelligence, medical imaging, and clinical research, you will play a pivotal role in transforming complex research data into meaningful discoveries that have the potential to improve health outcomes globally. As a highly skilled Data Scientist, you will work alongside leading researchers, clinicians, AI specialists, and technical experts, leveraging cutting-edge technologies and world-class research infrastructure to develop innovative analytical solutions, enhance research capability, and help create lasting impact through data-driven discovery. At UQ, you will be challenged, inspired and rewarded while contributing to research that is part of something bigger, creating change together. Key responsibilities will include : Research: Design, develop and optimise clinical and skin imaging data management systems, workflows and research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research outcomes. Research Data Management and Analysis: Lead the processing, cleaning, integration, validation and analysis of complex clinical and skin imaging datasets, including 2D and 3D medical imaging data. Develop, maintain and deploy robust, version-controlled analytical codebases and data solutions that support high-quality, reproducible research. Collaboration and Stakeholder Engagement: Collaborate with researchers, clinicians, AI specialists and technical experts to enhance data platforms, modelling capability and analytical approaches. Provide specialist technical expertise, contribute to multidisciplinary research projects, and support continuous improvement across research systems and processes. Supervision and Researcher Development: Train, mentor and support junior staff in data cleaning, quality assurance, data management and analytical best practices. Foster capability development and contribute to a collaborative and high-performing research environment. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in Data Science, Biostatistics, Computer Science, Health Informatics, or a closely related discipline. Demonstrated experience working with large, complex and longitudinal research datasets, including data cleaning, preprocessing, integration and quality assurance to support high-quality research outcomes. Proven expertise developing, validating and deploying advanced statistical and machine learning models using Python, R, or similar programming languages in a research environment. Experience working with melanoma, skin cancer or medical imaging research, including the analysis and management of 2D and 3D imaging datasets. Strong technical knowledge across the data lifecycle, including research data architecture, data pipelines, database management, SQL, REDCap, cloud or high-performance computing environments, and reproducible research practices. Excellent communication, stakeholder engagement and collaboration skills, with the ability to work effectively across multidisciplinary teams and provide training, mentoring and technical guidance to researchers and staff. About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged. As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world-class facilities and equipment, grant writing support, greater research funding opportunities, and other forms of staff support and development. The greater benefits of joining the UQ community are broad: from being part of a Group of Eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements, access to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process. Interested? For more information about this opportunity, please contact Caitlin Horsham at [email protected] For application inquiries, please reach out to the Talent Acquisition team at [email protected] , stating the job reference number (below) in the subject line. When you apply, please ensure you upload a resume , cover letter , and responses to the ‘About You’ section. Other Information Pre-employment checks may include verification of the right to work in Australia, qualifications, criminal history checks and mandatory immunisations. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements. Relocating from interstate or overseas? We may support you with obtaining employer-sponsored work rights and a relocation support package, however upfront costs will still be expected to be covered. You can find out more about life in Australia’s Sunshine State here . We're dedicated to equity, diversity, and inclusion . We recognise that career pathways and opportunities differ and encourage applications from candidates who may not meet every criteria but can demonstrate their potential relative to opportunity. We’re also happy to support any accessibility needs throughout the recruitment process. Just let us know how we can help by emailing [email protected] or calling 61 7 3365 2623. Applications close 14th of October 2026 at 11.00pm AEST (R-68823). Please note that interviews have been tentatively scheduled for late October 2026.

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This role is for one of our clients Compensation: $55 - $90 per hour We are seeking STEM PhDs and Technical Domain Experts for a premier project with one of the world's top AI labs. This role pays between $55-90/hour. In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by coming up with difficult problems in your domain. Requirements You're a good fit if you: Have a PhD or advanced degree (or equivalent industry experience) in one of the following domains: Medicine / Healthcare, Statistics and Data Science, AI / ML Research, Computer Science, Game Development or Mechanical / Aerospace Engineering Have high attention to detail Have exceptional written and verbal communication skills Screening Process: You will need to complete a short interview and task that will take 20-30 mins and we will pay for up to 1hour of onboarding time including this and a few onboarding videos if you are hired. Apply today and leverage your leadership and technical expertise to advance cutting-edge AI models! We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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One of Australia’s leading research & teaching universities Vibrant campus life with a strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best work. The UNSW RNA Institute is Australia’s leading RNA research institute, bringing together researchers from UNSW Science, Engineering and Medicine, led by Professor Pall Thordarson, with collaborative input from other universities and institutes. Our mission is to grow and support the NSW RNA Ecosystem: mRNA Vaccines Other RNA Therapeutics RNA Delivery Systems RNA Technologies RNA Education RNA Research The Scientist carries out research, development and production of RNA and related products within the UNSW RNA Institute. The role will contribute and apply knowledge in the field of RNA processing to a range of projects conducted within the Institute. About the role Level 5 ($92K - $104k) Level 6 ($108k - $115K) plus 17% Superannuation and annual leave loading Fixed Term – 14 months (to December 31, 2027) Full-time (35 hours per week) The role reports to the Senior Scientist – pDNA, mRNA and has no direct reports. Specific responsibilities for this role include: LEVEL 5 –Scientist I Conduct research, development, and production of RNA and related products under the Institute’s Quality Management System(s) within agreed timelines as required. Assist in the design and execution of research and development activities to improve processes and methods for the production of RNA and related products. Liaise with internal and external stakeholders, researchers and collaborators, and actively participate in meetings and discussions as required. Assist custodians for specialised instruments within your area of expertise supporting maintenance, operation, troubleshooting and training of new users. Monitor the effectiveness of existing procedures and provide advice on research and development activities to improve processes and methods. Support implementation, maintenance and continuous improvement of the Institute’s Quality Management Systems (ISO 9001 and/or GMP). Monitor effectiveness of existing processes (scientific, technical and administrative) and advise on proposals to improve operations. Assist with training internal and external stakeholders in the production of RNA and related products as required. Cross-train in related methods and perform quality control analysis of RNA and related products as required. Proactively assist with research reports, peer-reviewed publications, presentations, ethics applications, technical procedures, method documentation, safe work procedures and other published materials. Align with and actively demonstrate the Code of Conduct and Values. Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the psychosocial or physical health and safety of yourself or others. LEVEL 6 –Scientist II (In addition to the above) Design and execute research and development activities to improve processes and methods for the production of RNA and related products. Liaise with internal and external stakeholders, researchers and collaborators, and actively lead meetings and discussions as required. Manage smaller research/industry-based projects or elements of larger projects within and/or across the Institute, leading staff and influencing other internal and external partners to achieve the project's goals. Act as custodian for specialised instruments within your area of expertise supporting procurement, installation, and servicing, while managing maintenance, operation, troubleshooting and training of new users. About the successful applicant (Selection Criteria) LEVEL 5 –Scientist I To be successful in this role you will have: A degree in Molecular Biology, Biochemistry or related discipline, or an equivalent level of knowledge gained through a combination of education, training or experience. Demonstrated knowledge in pDNA and mRNA production techniques, in particular downstream processing such as HPLC, FPLC and TFF. Demonstrated knowledge in RNA analytical techniques. Knowledge and experience working with and troubleshooting a range of technical instruments. Demonstrated knowledge or understanding of Quality Management Systems such as ISO 9001 and/or GMP. Demonstrated high level of attention to detail and diligence in carrying out and documenting complex procedures. Excellent time management skills, with a demonstrated ability to respond to changing priorities, manage multiple tasks and meet competing deadlines by using judgement and initiative. Excellent written and verbal communication skills, with a high level of attention to detail and the ability to liaise effectively with a range of stakeholders whilst exercising discretion and confidentiality. Demonstrated ability to work collaboratively and productively within a team, but also to take initiative and work independently while managing competing demands. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training. LEVEL 6 –Scientist II (In addition to the above) A degree in Molecular Biology, Biochemistry or related discipline, with subsequent relevant experience, or an equivalent level of knowledge gained through a combination of formal education, training or industry experience. Demonstrated experience in techniques used for pDNA and mRNA production, in particular downstream processing such as HPLC, FPLC and TFF. Demonstrated experience in RNA analytical techniques is beneficial. Demonstrated experience managing operation, troubleshooting and training for a range of specialised instruments. Demonstrated experience in Quality Management Systems such as ISO 9001 and/or GMP. You should systematically address the selection criteria listed above in your application. Please apply online - applications will not be accepted if sent to the contact listed. Contact: UNSW Recruitment E: [email protected] Applications close: October 8 th , 2026 Find out more about working at UNSW at www.unsw.edu.au UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds. UNSW aims to ensure equality in recruitment, development, retention and promotion of staff and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity or Indigenous heritage. We encourage everyone who meets the selection criteria to apply. UNSW partners with Australia’s leading diversity organisations, networks, and campaigns. Please refer to UNSW’s diversity offerings for further information on our flexible work and leave options, and support for carers (childcare, parent rooms, parental leave).

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