174 computational-physics-"https:"-"https:"-"https:"-"https:"-"Dr"-"UCL" Fellowship positions in Australia
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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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brain health. We are seeking a highly motivated Research Fellow to join a multidisciplinary and multi-institutional research program within the CDCO Academic Node. This role focuses on evaluating novel
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facility in Mickleham, Victoria. You will work closely with DAFF plant pathologists and CSIRO experts in microRNA research and bioinformatics, as part of CSIRO’s structured early‑career development program
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
of Science and Medicine (CoSM) encompasses the disciplines of: Astronomy and Astrophysics, Biology, Chemistry, Earth Sciences, Medical Research, Medicine and Psychology, and Physics. Staff and students within
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track record related to quantum computing, quantum chemistry, condensed matter physics, and/or molecular dynamics simulation. Ability to work well in a multi-disciplinary team and to contribute
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of Physics & Astronomy. The Research Fellow will conduct research related to the light curves and spectropolarimetry of Type Ib/c supernovae using radiative transfer models. You will also be expected
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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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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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School of Mathematics and Physics Full-time, fixed-term position until 1 February 2028. Base salary will be in the range $143,099.52 - $164,748.70 + 17% Superannuation (Academic Level C) Based
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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