447 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Toronto in Canada
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-campus projects in the general range of $10 million to $150 million and over, including projects involving real estate partnerships and complex delivery methods (e.g., Design Build, IPD). The incumbent
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. The work includes both “wet” lab components during the first half of the course and computational analysis for the last few weeks of the course. Estimated TA support: 210 TA hours Estimated course enrolment
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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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we think about the world. Your opportunity: The Office of Communications & Public Affairs at Faculty of Arts & Science (A&S) at the University of Toronto facilitates numerous activities, events 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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conflicts of interest in drug development. Estimated Course Enrolment: 45 students Estimated TA Support: 1 positions (20 hours) Class Schedule: Tuesdays, 1:00 pm – 3:00 pm** **The delivery method
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
to understand needs, challenges, and barriers to accessing RGASC programs. The incumbent will also develop and implement assessment tools, satisfaction surveys, interviews, focus groups and program utilization
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executing qualitative and/or quantitative research methods Designing surveys, interviews and other research tools for program evaluation Preparing draft statistical reports and summaries from data collected
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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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include: Machine learning for SDL Development Working with the AC community, including faculty and partners, this candidate will align computational methods with experimental workflows. The focus will be