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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 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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validating curriculum requirements with academic units, as well as preparing and disseminating reports of approved curriculum to colleagues in theOFR and in the Office of Experiential Learning and Outreach
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. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 22 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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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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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
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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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: 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 artificial intelligence within cultural institutions. Research areas can include, but are not limited to: the use of decentralized AI infrastructures within cultural memory activities; federated learning and
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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