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+), particularly in active learning environments, and experience in teaching computer programming, data science, or software design. Preferred Qualifications: include a PhD in an appropriate discipline (as above
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
range of topics, such as Software Engineering, Machine Learning and Data Mining, Quantitative Finance, Mathematics, and Applied Statistics. This search aligns with the University’s commitment
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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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, 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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Sessional Lecturer - HIS311H1F Canada in the World Course Description: Ranging from the fifteenth through to the turn of the twenty-first century, students will learn about the treaties, trade
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day 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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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month 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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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