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supervising of trainees Providing other support as required by the research team The PDF will be supervised by Dr. Matthew Mitchell, who leads the Mitchell Multifunctional Landscape Lab (https
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to communicate a clear research vision. The successful candidate will be expected to develop a robust, externally funded and internationally recognized research program, successfully supervise graduate students
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 6 days ago
: Biology Campus: University of Toronto Mississauga (UTM) Existing Vacancy: Yes POSITION DESCRIPTION The Biomedical Communications program in the Department of Biology at the University of Toronto
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programs, which include MASc, MEng, PhD, and Engineers in Scrubs (EiS), within the School. Programs must meet or exceed national accreditation standards. The Senior Manager of Academic and Special Programs
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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program, offering MFA degrees in Directing as well as Design and Production, and MA and PhD degrees in Applied Theatre and Theatre Studies The Department’s reputation is grounded in a rigorous integration
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classroom teaching and learning, the complementary role of counsellors and psychologists, educational computing and technology. The Youth Protection Act. Posting Dates: July 24 - August 3, 2026 Application
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satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Sessional Lecturer – BTC1899H Digital Health Technology This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. Course number and title: BTC1899H Digital Health Technology
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: The successful candidate must hold a PhD in Data Science, Computer Science, or a related discipline or a Master’s in such a discipline with commensurate/equivalent relevant industrial experience or accreditation