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with an expected start date of January 1st 2027 or mutually agreed time. The successful candidate will be a member of the Department of Community Culture and Global Studies (CCGS) https://ccgs.ok.ubc.ca
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date is December 1, 2026 or a date to be mutually agreed upon Responsibilities: Design, implement, and manage fire behaviour and fire-weather/climate modelling analyses supporting the lab's research
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Date Posted: 08/05/2026 Req ID: 49736 Faculty/Division: Faculty of Architecture,Landscape&Design Department: Daniels Faculty of Arch., Land & Design Campus: St. George (Downtown Toronto) Description
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Institute for Sustainability in Engineering and Design (http://www.mcgill.ca/tised) at McGill University invites applications for a full-time tenure-track Assistant Professor position to advance
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expertise. Candidates should therefore have a strong foundation in chemistry and demonstrated potential to contribute broadly to the Department’s teaching and research missions. Candidates should hold a PhD
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
of Toronto, please visit https://www.utoronto.ca/research-innovation/working-at-uoft . At UTM we are committed to fostering an environment of diversity and inclusion. With an enviably diverse student body, we
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: Kuujjuaq Travel, taxi/mileage, accommodation, and per diems are covered by the Office for instructors who require it. Teaching Qualification Requirements (TQRs): Education Master’s or PhD in Educational
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is $100,000-$110,000 annually. This Research Associate position will play a key role in the design, execution, and communication of research projects related to electrochemical decarbonization
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/ remyelination is essential. Working closely with the principal investigator, candidate will be responsible for the experimental study design, and to develop and maintain the laboratory infrastructure to support
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research to explore topics such as: How do environmental scientists design studies or experiments to answer specific questions? How do we characterize the limitations of the data we have and work within