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(EDI), are encouraged to apply. This position is subject to budgetary approval and is scheduled to commence on July 1, 2026. In keeping with our technology-enhanced learning environment, Ontario Tech
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available on the School of Nursing website at http://www.nursing.ubc.ca and information on the employment environment in the Faculty of Applied Science is available at https://apsc.ubc.ca/faculty/career
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Date Posted: 07/21/2026 Closing Date: 10/15/2026, 11:59PM ET Req ID: 48737 Job Category: Faculty - Tenure Stream (continuing) Faculty/Division: Faculty of Arts & Science Department: Dept of Classics
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
. It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
fidelity and computer technology; assist faculty with Objective Structured Clinical Examinations (OSCEs); and act as a resource person for independent student practice. Applicants must hold a minimum of a
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service delivery in areas such as virtual care, mobile technologies, and wearable devices for health. However, recent research has largely focused on the accuracy of the technology and much less on real
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: https://www.mcgill.ca/engineering/about-us/employment-opportunities How to apply: ***In accordance with Article 12.02 of the AGSEM Teaching Assistant collective agreement: All applicants for posted
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Date Posted: 07/21/2026 Closing Date: 10/15/2026, 11:59PM ET Req ID: 48736 Job Category: Faculty - Tenure Stream (continuing) Faculty/Division: Faculty of Arts & Science Department: Dept of Classics
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. The successful candidate will work at the intersection of life-course epidemiology, causal inference, and artificial intelligence to advance our understanding of the biological pathways linking social