339 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at Monash University
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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people who discover them The Opportunity Monash University’s Artificial Heart Frontiers Program (AHFP) is at the cutting edge of developing innovative cardiovascular technologies that will transform
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models (eg auto-encoders and generative adversarial networks) and reinforcement/imitation learning algorithms for Markov Decision Processes. The application areas are different problems in text processing
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designing and implementing new algorithms to produce visual aids to assist people to reason with causal Bayesian networks, as well as the planning and conduct of exploratory usability studies to assess
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distributions. We wish to represent the biological networks into proper formats, e.g., vector representations, so that existing machine learning algorithms (e.g., support vector machines) can readily be used
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The University Marketing, Admissions and Communications Division has an exciting opportunity to join the team as a Communications Manager. The Communications Manager (International) develops and implements
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Econometrics and Business Statistics at Monash University is globally recognised for its excellence in research and teaching. Our department is a leader in developing cutting-edge methodologies in econometrics
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a postgraduate qualifications along with extensive relative experience Demonstrated experience and capabilities in financial management, budget development and reporting, systems improvement, project
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to the delivery of world-class clinical trials in collaboration with industry and health partners. This is a unique opportunity to combine relationship-building, strategic thinking, and business development
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learning solver applied to various practical problems. In particular, the project will develop novel techniques for the incremental use of core-guided MaxSAT and CP solvers in the context of a series of