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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Date Posted: 07/03/2026 Req ID: 49169 Faculty/Division: Centre for Teaching and Learning Department: UTSC:Ctr-Teaching & Learning Campus: University of Toronto Scarborough (UTSC) Description: Nature
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
staff members, and over 3,000 students. With the most programmatically diverse health faculty in Canada, our students are exposed to a broad range of health topics and learning experiences. The School
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Application deadline: September 25, 2026 To learn more about academic opportunities at the University of Calgary and all we have to offer, view our Academic Careers website (http://careers.ucalgary.ca
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demonstrate expertise in mathematics for machine learning, applied machine learning, data science, and time series analysis. The successful candidate should be capable of teaching a range of courses, from
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, interventional effects, multiple mediation), and advanced longitudinal modelling (mixed-effects models, growth curve models, latent class trajectories) with machine learning and AI-based approaches. The Lab is
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, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
Earth Science or a related field, experience in the field of Glacial Geology or Glacial Sedimentology, University teaching experience preferred, familiar with instructional computer technology (i.e
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Assistant Professor- Health Informatics and Translational Digital Health Systems and Policy Research
. Applicants are encouraged to review the research and teaching profiles of current faculty members. Please visit our home page: IHPME . RESPONSIBILITIES Advances in cutting-edge technologies such as Machine
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both independently and collaboratively in a highly confidential team environment; knowledge and understanding of medical terminology; proficient spelling and grammar skills; proven computer skills
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Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
experience in collaboration with a Department of Medical Imaging, prior successful grant applications as PI or Co-PI, patents in the field of AI or machine learning and successful graduate student supervision