29 phd-computational-neuroscience Fellowship positions at Australian National University
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close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by peer-reviewed publications in good venues for Robotics/AI/ML area
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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are looking for a highly motivated and collaborative researcher who holds a PhD in molecular biology, immunology, cancer biology, or a related discipline. The ideal candidate will have demonstrated expertise in
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working across numerous professions (see the full list of available roles here . We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
) . The funding that supports this project has an expected end date of December 2026. Position Overview The position is fully funded by the National Environmental Science Program (NESP) Climate Systems Hub. The Hub
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only internationally accredited field epidemiology training program. Work with the MAE team to integrate diversity, equity and inclusion into all aspects of the MAE Program, including the curriculum
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community to embed progressive computing research and education capabilities. Competitive remuneration, 17% super, salary packing and leave loading. About the opportunity This position is a fixed term up
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to the world's greatest challenges and helping us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new
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the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven