339 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" positions at Monash University
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to these various dangers, to inform the design of, and test, mathematical models that will be generally applicable across a larger cross-section of important species of bacteria. Modelling Evolution – Predicting
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, development economics, employment and work, and retail studies. The Department of Banking and Finance, established in 2014 with roots in the David Syme School of Banking and Finance, leads internationally in
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physicists develop novel models and mathematical frameworks to explore the most complex behaviours of quantum systems—driving the development of transformative technologies. At Monash, academics at the levels
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involves preparing and delivering lectures, workshops, seminars, etc., as part of the department’s business courses. The candidate will also contribute to the development of course materials, collaborating
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Australia development activities and collaboration Australia’s research and research infrastructure communities Provision of visas and working permits for successful candidates and their families About EMBL
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the Faculty of Information Technology. As a Research Fellow, you’ll be at the forefront of developing innovative AI solutions to tackle some of the most pressing environmental challenges of our time. Working
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feedback informs decision-making. Serving as the primary contact for the Library within faculties. Assessing needs and helping to develop sustainable, scalable solutions. Collaborating with Library Portfolio
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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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often provide dietary advice based on the average responses of groups to specific foods, rather than considering individual glycemic responses. This project aims to develop an AI-driven, personalised