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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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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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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month 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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: 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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, 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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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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technical subjects such as programming, data science, machine learning, and algorithmic fairness is highly desirable. Candidates must have teaching experience in a degree-granting program, including lecture
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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