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qualifications, the need to acquire experience, previous experience, and previous satisfactory employment under the provisions of this collective agreement. Application Procedure: For detailed information
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machine learning / deep learning methods Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement learning, and/or representation learning Experience in development and
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experience; knowledge of University of Toronto structure; deep familiarity with academic HR life cycle, tenure process, and University academic HR norms. Excellent knowledge of the University’s academic
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for a career at one of Canada’s top employers? Work where the world comes to think, discover and learn. Consider a career at the University of Toronto. About the University of Toronto Libraries
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Sessional Lecturer - CTL7014H - Fundamentals of Teaching and Learning Course number and title: CTL7014H - Fundamentals of Teaching and Learning. Course description: This course will explore
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is a catalyst for transformative learning, insights and public engagement, bringing together diverse views and initiatives around a defining purpose: to create value for business and society. We make a
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. Both courses are connected to an inquiry-based, data driven school-specific Master of Teaching Junior/Intermediate cohort partnered with a TDSB school. As such, one instructor will be hired to teach
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developing a deep understanding of language instruction to various age groups. The overarching goal of this practicum course is to help all LLE M.Ed. Field candidates to gain clarity in life, valuable teaching
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welcomes scholars who focus on the impact of technology on economic productivity and innovation and candidates whose work engages with policy, with a deep understanding of global economics, an appreciation
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Sessional Lecturer - CTL7014H - Fundamentals of Teaching and Learning Course number and title: CTL7014H - Fundamentals of Teaching and Learning - This course will explore the complexity of schools