390 computer-programmer-"U"-"Washington-University-in-St" positions at Monash University in Australia
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Asahi Study Grant Monash Travel Support Grant The Asahi Study Grant is a $6000 travel scholarship created to support students in the University’s Japanese Studies Program to attend a study tour to
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people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
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programming (R or Stata preferred), and scientific computing Excellent problem-solving, planning and written communication skills Experience working with health-related data and modelling methods A
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educational disadvantage and wish to contribute to the community. You will become a mentor to students from under-represented schools as part of the Access Monash Mentoring Program, giving you the opportunity
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relevant fields of specialisation for this appointment are operations research, operations management, or a closely related discipline with strong computational and/or mathematical skills with expertise in
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, Gholamreza Haffari Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018. [2] Learning How
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
Monash, the three-year interdisciplinary project brings together academics in media, creative industries, cultural studies, sociology, and human-centered computing. The successful applicant will join the
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member of the Faculty executive and contribute to the development of the Faculty strategic plan. The appointee will inspire staff with a strong vision for education, engagement and research. The Head of
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In