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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
success, and seek to give our 16,500 students the lift of a lifetime through learning anddiscovery. We love to open opportunities available nowhere else for our community to achieve their ambitions and make
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Description: About us: The University is a global leader in research and teaching. We provide diverse and extensive areas of study organized around intimate learning communities. That is what creates
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
that specialize on a wide range of topics, such as Software Engineering, Machine Learning and Data Mining, Quantitative Finance, Mathematics, and Applied Statistics. This search aligns with the University’s
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 14 days ago
education basis, using a problem-based learning model supplemented by web- and email-based sessions. The Program currently has the following Sessional Instructional Assistant (SIA) position available
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Studies; Architecture; Museum Studies; Human-Computer Interaction or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We
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Studies; Architecture; Museum Studies; Human-Computer Interaction or a related area, with a clearly demonstrated record of excellence in research and teaching. We seek candidates whose research and teaching
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, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our world
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Course description: A half-year capstone design course in which students work in small teams to apply the engineering design, technical, and communication skills learned previously, while refining
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: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and community while discovering new ways
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of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class provides an overview of how clinicians