7 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions at Australian National University
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Australian National University | Canberra, Australian Capital Territory | Australia | about 11 hours ago
The ideal candidate for the Research Fellow or Fellow position will hold a PhD in epidemiology, biostatistics, data science, medicine, public health, or a related population health discipline, with
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Australian National University | Canberra, Australian Capital Territory | Australia | about 11 hours ago
. To be successful in this role, you will have: A PhD (or near completion) in psychology, sociology, political science, Indigenous studies, or a related discipline. Demonstrated experience or strong
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
collaborate with First Peoples that partner with the Water Justice Hub. Ideal candidate Our ideal candidate will hold a PhD in economics, with a demonstrated record of independent research and relevant
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Australian National University | Canberra, Australian Capital Territory | Australia | about 11 hours ago
. The Person The ideal candidate will hold a PhD (or complete within six months of appointment) in Biology, Chemistry, Physics, or a related discipline, and demonstrate a strong track record of independent
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
, accountable to the Head of the Experimental Mechanics group. The Person To excel in this role, you are required to have a PhD in Geoscience, Experimental Physics, or engineering, with demonstrated experience in
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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