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learning, robotics, laboratory automation, and materials discovery and will be delivered across numerous platforms, including micro-credential programs, academic courses, hands-on workshops, lectures, and
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microeconomics and whose research focuses on structural empirical methods. We seek candidates whose research and teaching interests complement our existing departmental strengths . The successful candidate will be
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chemistry, with experience planning and troubleshooting synthetic routes and performing parallel library synthesis. The ideal candidate should have experiences with one or more of the following: working with
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: Sessional Lecturer - JAV101H1S - Design Studio 1 Course description: A studio-based introduction to the methods and processes of design. The course serves as a hands-on exploration of design issues through a
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Sessional Lecturer Position Posting Date: August 12, 2025 Program: Master of Health Science in Health Administration (MHSc) Sessional Dates of Appointment: Fall 2025, September to December Course
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Sessional Lecturer - CTL7027Y - Curriculum and Teaching in Social Science: General - Intermediate/Se
. Teacher candidates will also have an opportunity to engage in inquiry and examine unique ways for presenting Social Science content. Examining classroom practice and methods, curriculum and program
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Master of Engineering (MEng) students, a professional program for students taking courses with us for a year or two. And we have about 350 MASc and PhD students, who work individually on research projects
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course enrolment: 130 Estimated TA support: 180 hours (contingent upon enrolment and funding) Class Schedule Class Schedule: Thursday 14:00-17:00 The delivery method
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 29 days ago
Internship Program by connecting students with meaningful work term opportunities through employer and industry partnerships. The incumbent will research and recommend new avenues for collaboration, cultivate
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, combined with increased computing power, is fueling major advances in AI. This course explores how leaders can use the abundant, real-time, and multi-dimensional digital data now available, in combination