533 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Toronto in Canada
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at the intersection of information and communication technologies, human rights, and global security. We use a “mixed methods” approach to research combining practices from political science, law, computer science, and
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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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support teaching in the Public Health undergraduate program at University College. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2026. This search
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largest and most renowned university-based music program for professional musical training, creation, performance, education, and research. Home to a diverse and dynamic community of scholars, performers
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at the intersection of information and communication technologies, human rights, and global security. We use a “mixed methods” approach to research combining practices from political science, law, computer science, and
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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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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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will work closely with a multi-stakeholder working group and a defined governance system representing all 10 AHC partner institutions, including program leaders among other health ecosystem stakeholders
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
the logistical execution of events and programs, developing communication strategies, evaluating outcomes, and coordinating internal funding competitions. In parallel, the Advisor serves as a key resource on
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-performance computing Experience in design of computational pipelines for large-scale imaging Experience with programming languages and scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and