390 parallel-computing-numerical-methods positions at University of Toronto in Canada
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Sessional Lecturer - CTL7027Y - Curriculum and Teaching in Social Science: General - Intermediate/Se
. Teacher candidates will also have an opportunity to engage in inquiry and examine unique ways for presenting Social Science content. Examining classroom practice and methods, curriculum and program
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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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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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, combined with increased computing power, is fueling major advances in AI. This course explores how leaders can use the abundant, real-time, and multi-dimensional digital data now available, in combination
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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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course enrolment: 130 Estimated TA support: 180 hours (contingent upon enrolment and funding) Class Schedule Class Schedule: Thursday 14:00-17:00 The delivery method
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Internship Program by connecting students with meaningful work term opportunities through employer and industry partnerships. The incumbent will research and recommend new avenues for collaboration, cultivate
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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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equipment; determine method of repair and cost/time associated with the repair. Repair equipment including mechanical, fuel, electrical, hydraulic, and pneumatic systems by replacing, fabricating, or revising
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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