547 parallel-and-distributed-computing-phd positions at University of Toronto in Canada
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credits Distribution Requirements: Humanities Estimated course enrolment: 200 Estimated TA support: 250 hours Class schedule: Tuesdays, 1:00 pm — 3:00 pm *Please note, this course is scheduled to be
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have earned a PhD degree in Mathematics or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. The University of Toronto
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. Applicants must have earned a PhD degree in Mathematics or a related area, with a clearly demonstrated record of excellence in research and teaching. We seek candidates whose research and teaching interests
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 8 hours ago
The Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM) invites applications for a full-time tenure stream appointment in the area of Pure
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such topical areas as healthcare financing, income distribution and pension policy. Economic growth, intergenerational transfers, and the robustness of policies in the face of changing circumstances will be
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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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technical documentation and user support guides Serving as a resource on specific issues to a group of specialists Essential Qualifications: Bachelor’s degree in related field (Computer
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 7 hours ago
, with an anticipated start date of July 1, 2026. Applicants must have earned a PhD degree in Statistics, Mathematics, Computer Science or related field by the time of appointment, or shortly thereafter
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. Experience operating, maintaining, troubleshooting, and repairing modern scientific instrumentation, including analytical instrumentation, computer workstations, peripheral laboratory hardware and wet