194 associate-professor-computer-"https:"-"https:"-"https:"-"https:" Fellowship positions in Australia
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to join Professor Felicity Meakins on the Australian Research Council Laureate project ‘Amplifying Indigenous Ecological Knowledge in Western Science with Language’ . These roles offer an exciting
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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 Council Discovery and linkage Projects. The appointee will work closely with the research group led by Associate Professor Bin Luo, contributing to innovative, high-impact research in energy storage
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closely with researchers across the School of the Environment, the Joint Remote Sensing Research Program (JRSRP), and DETSI teams including the Queensland Herbarium and Biodiversity Science (QHBS) and Earth
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will integrate bioinformatic tools, laboratory research, glasshouse experimentation, and field trial work to identify and validate genes associated with grain yield, plant biomass, and other key traits
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Research Program (JRSRP), and DETSI teams including Queensland Herbarium and Biodiversity Science (QHBS) and Earth Observation and Social Science (EOSS). Your research will be embedded in day-to-day
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to the Scientia Professor and Program Head. Some key skills required: A PhD in public health or a similar relevant field. Design, develop, coordinate and implement public health research on blood donation and
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program focused on developing, evaluating and integrating emerging weed‑control technologies for Australian broadacre cropping systems. Whether you are an emerging researcher or an experienced postdoctoral
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, and evidence-based way. This position sits within the Public Health and Policy Pillar of Macquarie University Hearing, a strategic and growing research program led by Professor Bamini Gopinath, whose
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 14 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