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for students in certain Economics Specialist programs. Estimated course enrolment: 50 Estimated TA support: 140 hours (contingent upon enrolment and funding) Class Schedule
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: Department of Family Medicine Course Title: Applied Knowledge Translation and Exchange in Health Course Code: FMED 615 Estimated Number of Positions: 1 Total Hours of Work per Term: 20 Position Summary
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Course Description: This course will introduce the fundamental concepts of information and communication technology for those students with a health science background, but no formal training in computer
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sessions from 9am- 4 pm on Thursdays between June 4 and June 25, 2026 Delivery mode: In-person Estimated enrolment: 30-40 Estimated TA support: N/A Qualifications: An MD or PhD with a Doctorate or master’s
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Sessional Lecturer-ECO421H1F/ECO4050H1F: Sp Top in Eco: Banking Comp. and Fin. Stability (Sec.L5101)
, a core research project, guest speakers from the industry, and current policy debates, you will apply economic tools to the real decisions and trade-offs facing financial systems today. Estimated
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Dept. Course Titles and Course Numbers: enter course title and course number here Estimated Number of Positions: BIOL 112 Cell and Molecular Biology BIOL 201 Cell Biology and Metabolism BIOL 202
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methods. Must be accessible to students outside of classroom hours. Available evenings and weekends. Course Description Details: https://ihpme.utoronto.ca/course/mhi1002h/ Salary: $9,820.70 - Sessional
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
relevant industry experience in business analytics, data analytics, operations, or decision support. Demonstrated knowledge of data analytics methods appropriate for an introductory business analytics course
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(social political, economic and environmental etc.). Students will learn about basic research methods and issues in the field. Current examples of major local and global health concerns will be used
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to provide advanced technical leadership in bioanalytical method development, validation, quality assurance, and high-throughput sample analysis. They will serve as the laboratory’s subject matter expert