621 parallel-computing-numerical-methods-"Prof" positions at University of Toronto in Canada
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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
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the UniversityGuide to Financial Management and other applicable policies, agency and regulatory requirements Developing and revising business methods that support administrative workflow and objectives Implementing
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Date Posted: 07/31/2025 Req ID: 44591 Faculty/Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George (Downtown Toronto) Description: Course number and
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Date Posted: 07/31/2025 Req ID: 44594 Faculty/Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George (Downtown Toronto) Description: Course number and
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of Statistical Sciences is one of the top ten statistics departments in North America, with our faculty developing numerous important innovations in statistical science. Our mission is to serve as a centre of
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 4 days ago
procedures of the University of Toronto or other related educational institutions. Excellent analytical and numerical skills. Proficient using analytical software/spreadsheets/data visualization tools. Good
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 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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that students have acquired over the course of the MPP program and to bring them to bear on the development of a coherent policy agenda for the current Canadian context. The course is modelled after the Institute
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interpreting raw data streams from radio telescopes or similar data Experience in high performance computing, especially involving massively parallel applications Experience with cluster computing and job
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maintenance Experience in interpreting raw data streams from radio telescopes or similar data Experience in high performance computing, especially involving massively parallel applications Experience with