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Medicine, established in 2017. The School is a nucleus for education and training, research, and innovation in biomedical engineering, creating new knowledge, new academic and training programs, and
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the undergraduate office about proceeding directly into CSC236H1 or CSC240H1. Reference: https://artsci.calendar.utoronto.ca/course/csc236h1 Estimated course enrolment: 40 students Estimated TA support: one 60-hour
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are covered by the Office for instructors who require it. Teaching Qualification Requirements (TQRs): Education A Master’s degree (in exceptional circumstances, applicants without a Master’s degree but with
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; demonstrated abilities to collaborate across disciplines, and to develop academic, government, and industry partnerships have clear ideas and aspirations to contribute to the Mechanical Engineering Department's
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development. Position: 1 Estimated Course Enrolment: 45 Estimated Teaching Assistant Support: none Class Schedule
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
, completed or nearly complete. Advanced comprehension of the subject matter as evidenced by research activity and/or advanced teaching experience. Strong organizational, interpersonal, and communication
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Minimum Qualifications: Ph.D. in Mathematics or a related field, completed or nearly complete. Advanced comprehension of the subject matter as evidenced by research activity and/or advanced teaching
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
, completed or nearly complete. Advanced comprehension of the subject matter as evidenced by research activity and/or advanced teaching experience. Strong organizational, interpersonal, and communication
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course will provide a brave space for Black self-identified educators and practitioners to deconstruct what it means to be Black from an intersectional lens navigating power and the complexities affiliated
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data Prior experience teaching this course (or a similar course) at the university level Ability and experience teaching large classes Preferred qualifications: Industry experience in predictive modeling