76 computational-physics "https:" "https:" "https:" "https:" uni jobs at University of Toronto in canada in Canada
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, scalability and Amdahl's law, Flynn taxonomy, vector processing and parallel computing architectures. Reference: https://artsci.calendar.utoronto.ca/course/csc367h1 Estimated course enrolment: 125 students per
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uncertainty and learning from new data. The course introduces the basics of Bayesian inference and Markov chain Monte Carlo methods, then shows students how to compute and make inferences for complex data
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for Jewish Studies see https://www.jewishstudies.utoronto.ca/. . APPLICATION PROCESS All application materials, including names and contact information of references, must be received by November 11, 2026. All
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for Jewish Studies see https://www.jewishstudies.utoronto.ca/. . APPLICATION PROCESS All application materials, including names and contact information of references, must be received by November 11, 2026. All
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for their lives beyond university. For more information about New College, visit http://www.newcollege.utoronto.ca . As part of New College’s senior management team, and reporting to the Principal
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independent research, and to establish an outstanding, competitive, and externally funded research program. In addition, the successful candidate will be assigned a teaching and service load. Hiring Salary
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information on working at the University of Toronto, please visit https://www.utoronto.ca/research-innovation/working-at-uoft . APPLICATION PROCESS Applications must be submitted online athttps
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 20 hours ago
The successful candidate will be expected to pursue innovative and independent research, and to establish an outstanding, competitive, and externally funded research program. In addition, the successful candidate
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 9 days ago
teaching interests complement and enhance our existing departmental strengths (https://www.utm.utoronto.ca/geography/ ). Candidates must have teaching experience in a degree-granting program, including
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experimental datasets using computational, statistical, and/or AI/ML methods to extract insights into material performance, stability, and process-structure-property relationships. Adapt and improve experimental