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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 25 days ago
evaluated on physical robots. The ideal candidate would have: A PhD (or close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by
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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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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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of Physics, Mathematics, and Computing (PMC) at UWA. The PMC School has a strong tradition of world-leading research in computer vision, mathematical physics, data science and quantum measurement. About the
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for the manufacture of computer chips. The project is supported by the Australian Research Council Linkage Project “Innovative Double Patterning Strategies for Integrated Circuit Manufacture” and is within
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to establish The National Quantum Computing Testbed Facility (NQCT). The goal of NQCT is to develop the first Australian open-access quantum computer with direct access to quantum and control hardware. NQCT
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academic at the Faculty of Arts You may be a great fit if: You are a passionate researcher with a PhD and a background in Social Studies of Technology, Anthropology, Human-Computer Interaction or related