22 phd-computer-artificial-machine-human Fellowship positions at Australian National University
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Australian National University | Canberra, Australian Capital Territory | Australia | about 5 hours ago
to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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intellectual engagement with the societies, cultures and economies of Asia and the Pacific. CAP is the centre of excellence for understanding human development and organisation in Asia and the Pacific, and
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the field of Organisational Behaviour. Specifically, the focus will be on human-artificial intelligence (AI) collaboration and creativity as part of an ARC Discovery Grant. You will have the opportunity
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at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern
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events. The Person The successful candidate will hold a PhD in design or a related field, with an active research and publication agenda. The successful candidate will have experience in one or more of: co
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human development and organisation in Asia and the Pacific, uncovering our past, informing our present, and reshaping our future to address the region’s challenges. The College comprises two research
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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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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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bring: PhD in bioinformatics, computational biology or a related field. Experience or interest in applying computational methods to RNA/mRNA therapeutics. A demonstrated ability to publish high-quality