208 cloud-computing-"https:" "https:" "https:" "St" Fellowship research jobs in Australia
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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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research program with multiple Aboriginal communities and other stakeholders to enhance rock art research and management within Western Australia. Pilbara Dreaming: Rock Art, Water and Heritage Futures will
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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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research across the Torres Strait and Northern Peninsula Area. This role contributes to an NHMRC Investigator Grant and the broader Indigenous Health Promotion and Capacity Building program led by Professor
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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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an outstanding Research Fellow to join the Autoimmune Rheumatic Diseases Research Program within the Faculty of Medicine and Health. This is an exciting opportunity to contribute to impactful research that aims
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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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-accelerated intense proton beams. Primarily, the tasks are to be done by means of analytical calculations and high-performance computing simulations in a strong link with the industrial partner (HB11 Energy
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month 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