663 parallel-and-distributed-computing-phd positions at University of Toronto in Canada
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: Preferably candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 6 days ago
the collective agreement shall prevail. Schedule: Monday 5:00 - 7:00 P.M. Wednesday 6:00 - 7:00 P.M. Delivery Mode: In-Person Estimated TA Support: TBD Qualifications: PhD in-hand, preferably in philosophy. Prior
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the context of assessing current issues such as acidification, metal pollution, eutrophication and global climate change. Paleoenvironmental techniques are applied in the laboratory. Distribution Requirements
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least a Masters degree in, or be working towards a PhD in a field relevant to Engineering and Social Justice, such as Engineering, Anthropology, Gender Studies, Feminist Studies and/or Sexual Diversity
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education, either a clinician or non-clinician, with a demonstrated ability to inspire innovation and excellence in a community hospital setting. The ideal candidate will hold a PhD or equivalent research
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& innovation funding program. Working within the Research Services Office (RSO), youwill work closely with faculty members and research administrators to enhance the University’s participation in international
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successful candidate should have a strong research track record, preferably resulting in a M.Sc. or PhD degree. The successful candidate will have an academic role of Surgeon Investigator or Surgeon Scientist
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Programming Dataset curation, database management, and data-mining skills Computational chemistry pipelines, and physics-informed material discovery Additional expertise that is desired (but not required
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in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Minimum Qualifications: PhD in Political Science with a focus on
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date of January 1, 2026. Applicants must have earned a PhD degree in engineering, mathematics, statistics, or a related area by the time of appointment, or shortly thereafter with a demonstrated record