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Date Posted: 10/01/2025 Closing Date: 11/24/2025, 11:59PM ET Req ID: 45256 Job Category: Faculty - Tenure Stream (continuing) Faculty/Division: Faculty of Arts & Science Department: Department
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and translation of research to inform policy and program. Besides involvement in research, the position also offers opportunities for teaching at SPPH. RESPONSIBILITIES Reporting to the Principal
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
, with an anticipated start date of July 1, 2026. Applicants must have earned a PhD degree in Statistics, Mathematics, Computer Science or related field by the time of appointment, or shortly thereafter
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, manuscripts, and reports in collaboration with the research team. QUALIFICATIONS Successful applicants will have: Completed a PhD within 5 years in a relevant discipline (e.g. public health, sociology
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Academic Job Category Faculty Bargaining Job Title Assistant Professor (tenure track) - Forest Ecophysiology Department Dept Forest & Conservation Sciences | Faculty of Forestry (Richard Hamelin
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upon. These appointments are limited to three years. The successful candidates will be members of the Department of Earth and Environmental Sciences (https://eesc.ok.ubc.ca/ ). Applicants must have a PhD
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Applications are invited from qualified individuals for a full-time tenure track faculty position in Large Animal Internal Medicine in the Department of Large Animal Clinical Sciences, and who have
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in the laboratory QUALIFICATIONS Successful applicants will have: PhD with expertise in cancer biology, proteomics and/or computational biology / machine learning A proven track record with first
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minimum of a PhD or equivalent in mathematics, computer science, statistics, ecology, botany, forestry, zoology, oceanography, fisheries, biodiversity conservation, environmental sciences, atmospheric
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of electrical engineering, Universite de Moncton (Moncton campus) Email: [mohamed.lamine.faycal.bellaredj@umoncton.ca] Context & Motivation: Because of their extreme computational needs where workloads demand