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for (Selection Criteria): Essential: A doctoral qualification in a relevant engineering, computing, or physical sciences discipline. Demonstrated research expertise in data analytics, machine learning, artificial
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
employer with staff 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
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Australian National University | Canberra, Australian Capital Territory | Australia | about 15 hours ago
political philosophy and will be expected to contribute to research in moral philosophy in the School of Philosophy at the ANU, and to contribute to its teaching program. The successful candidate will have a
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with concrete real-world applications Engagement with Defence Science and Technology Opportunity to hone supervision skills. Position Overview The Robotics group at the ANU School of Computing is opening
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) Based at our Herston Campus . About This Opportunity Join a nationally significant program driving innovation in clinical trial methodology at one of Australia’s leading research institutions
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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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at RMIT’s City Campus in the heart of Melbourne Flexible working arrangements considered, including part-time About the Role We’re seeking a Research Fellow in Theoretical Quantum Physics to join the Physics
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Campus in the heart of Melbourne Flexible working arrangements considered, including part-time About the Role We're seeking a Research Fellow in Theoretical Quantum Physics to join the Physics discipline
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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the areas of material synthesis, catalysis and plasma technology while independently delivering the experimental program. Recent research indicates that the plasma-enhanced reaction process can achieve high