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believe everyone has the right to good health. As the oldest and largest health management program in Australia, our School is a pioneer in public health, global health, infectious diseases intelligence
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opportunity for a Research Fellow (Level B) or Senior Research Fellow (Level C) to join the First Nations Cancer and Wellbeing Research (FNCWR) Program, led by Professor Gail Garvey within the School of Public
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+ 17% superannuation About the opportunity This position offers an opportunity to join a dynamic research team focused on multisectoral food systems policy and public health. Our research programme is
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programme in entomology at The University of Sydney, hosted within a supporting research group. The fellowship provides protected research time, mentorship, and practical enabling support so the fellow can
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Australia’s Food and Beverage Accelerator’s (FaBA) Program : Based in the Queensland Alliance for Agriculture and Food Innovation (QAAFI) Full-time fixed-term position through to end of 2026 Base
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the project’s cross-cutting computational and bioanalytical objectives and will involve developing a data base to record and access clinical data from a wide variety of animal species and also to develop a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
of Science and Medicine conduct research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities
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Implementation Science, A/Prof Ingrid Hickman , to deliver high quality research outcomes and the efficient operation of the Implementation Science Research Program. Key responsibilities will include: Program
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to join our growing multidisciplinary team at the forefront of public health research in hearing care. This role supports a high-impact research program focused on addressing the unmet needs of adults with
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper