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integrates foundational and applied courses in engineering, with hands-on learning and immersive experiences for students. To learn more about this program visit the following links: https
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Sciences, the successful candidate will be expected to develop and lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods, including
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 16 hours ago
technology and its application to course management (i.e. Quercus). Past teaching experience is a more relevant criterion than the need to acquire experience in respect of this posted position. Description
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National Research Council Canada | Ontario Centre Queensville, Ontario | Canada | about 10 hours ago
to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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, organization, cleaning, and management of speech and language datasets. Support the development, testing, and refinement of machine learning and artificial intelligence models. Conduct literature reviews related
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and Title: MMF1922H1F: Data Science (Section LEC 0101) Course Description: Over the past decade, data science and machine learning have gained immense popularity in many scientific disciplines
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and Title: MMF2030H1F: Machine Learning (Section LEC 0101) Course Description: The course will cover machine learning from both a theoretical and practical point of view, with a focus on pragmatic
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 6 hours agoprovided by the Engineering Teaching and Learning Team, the Queen’s Centre for Teaching and Learning, the Department, and Smith Engineering. The Department of Electrical and Computer Engineering has 36 full
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delivery systems using operations research methods, including their integration with complementary approaches such as empirical methods, machine learning, and artificial intelligence. Candidates must provide
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approaches such as empirical methods, machine learning, and artificial intelligence. Candidates must provide evidence of research excellence which can be demonstrated by a record of sustained high-impact