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Australian National University | Canberra, Australian Capital Territory | Australia | about 18 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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 17 days ago
Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human
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at the University of Sydney is currently seeking a Postdoctoral Research Associate (Physics) to work within the Dynamics and Neural Systems Group, led by A/Prof Ben Fulcher, on developing novel methods to analyze non
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original research in asymptotic, algorithmic and/or probabilistic combinatorics, with particular focus on hypergraphs. Collaborate on research problems with the project team (Prof. Greenhill, Dr Isaev, A
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of Medicine and Health The successful candidate will be led by Prof Paul Keall to investigate generating volumetric images of lung function from daily images taken as standard of care during radiation therapy
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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models through specific activation functions. This project will be undertaken in collaboration with Dr Hemanth Saratchandran and Prof Simon Lucey of the Australian Institute for Machine Learning, and
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Lucey, and AIML Chief Scientist, Prof Anton van den Hengel, their research team, and CommBank representatives to publish high-impact research and develop innovative AI solutions for the financial sector
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environments, taking into consideration new work arrangements (e.g., gig work and remote work) and technology (e.g., remote control, algorithmic management). The dominance of AT has contributed to an over
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contract. 2. Extension of the models of options of European style mentioned above to those of options of American style (options exercisable anytime before or on maturity). 3. Numerical algorithms