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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 19 hours ago
, 2026. Candidates must have earned a PhD degree in Philosophy or a closely related field by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 19 hours ago
date of July 1, 2026. Candidates must have earned a PhD degree in Philosophy or a closely related field, with a clearly demonstrated record of excellence in research and teaching. Applicants
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of study for both PhD and Master's include, but are not limited to: Information, Computer Science, Engineering, Statistical Sciences, Information Systems, Software Engineering, and Computational Social
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and program accreditations; and executing examination procedures. Additionally, the incumbent works closely with faculty program directors to implement programming, to schedule meetings and events, and
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encourage candidates from those communities to apply. Candidates must have earned a PhD degree in Philosophy of Science and/or Technology or a closely related discipline by the time of appointment, or shortly
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
their writing, and communicating effectively to diverse audiences. This course does not count toward any English program. Section: LEC0102 Day(s): Tuesday, Thursday Time(s): 9-11, 9-10 Estimated Enrolment: 100
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
agreement shall prevail. Schedule: Tuesday 4:00 - 6:00 P.M. Friday 2:00 - 3:00 P.M. Delivery Mode: In-Person Estimated TA Support: TBD Qualifications: PhD in-hand, preferably in philosophy. Prior experience
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
TA Support: TBD Qualifications: PhD in-hand, preferably in philosophy. Prior experience as a course instructor, preferably in Philosophy at U of T. Advanced prior knowledge of the subject-matter of
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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encourage candidates from those communities to apply. Candidates must have earned a PhD degree in Philosophy of Science and/or Technology or a closely related discipline, with a clearly demonstrated record of