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methods. Must be accessible to students outside of classroom hours. Available evenings and weekends. Course Description Details: https://ihpme.utoronto.ca/course/mhi1002h/ Salary: $9,820.70 - Sessional
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Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
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and is consistently ranked among the top 20 public universities in the world and among the top three in Canada. McGill is in Montreal, Quebec (http://www.montrealinternational.com/en/ ), a multiethnic
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Reading Methods Inuktitut/Cree This posting is for one unionized contractual course-by-course appointment to teach one course as a Course Lecturer. Course lecturer positions are governed by the Collective
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Vacancy: Yes Description: Course number and title:MIE320H1 - Mechanics of Solids II Course description: Three-dimensional stress transformation, strain energy, energy methods, finite element method
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*The delivery method for this course is expected to be in-person. Please note that, in keeping with current circumstances, the course delivery method may change as determined by the Faculty or the Department
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with exceptional promise to develop a vibrant, externally funded research program in any area of Tumour Immunology. We are particularly interested in candidates who explore tumour immunology such as, but
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website https://www.mcgill.ca/mining/job-opportunities/student-positions . Positions currently available: MIME 422 – Mine Ventilation (1 position at 49 hours – Course dates July 7, 2026 to August 20, 2026
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 hours ago
YOU MUST APPLY TO THIS POSTING AT THIS APPLICATION SITE ONLY : https://www.utsc.utoronto.ca/webapps/cupehiring/dept/cms/app/sl If you have any issues applying, please contact Kelly Squier
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 10 days ago
of Openings: est. 2 Lecture Sections: TU & TH 7:00pm-9:00pm Course Description: The course lays the foundation of business data analytics and its application to Management. Using state-of-the-art computational