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, including parsing and processing large document corpora. Strong understanding of machine learning or AI methods applied to health or biomedical data. Demonstrated ability to assess model outputs, identify
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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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of many teaching and research awards, with strengths in the Department including algorithms, artificial intelligence and machine learning, data science, bioinformatics, computational neuroscience
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 14 days ago
assignments. Access to a computer (no tablet/iPad/phone) with working internet to run Microsoft Teams for online meetings and instruction is required. Clinical Instructors will report to the instructor
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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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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
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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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Assistant Professor- Health Informatics and Translational Digital Health Systems and Policy Research
QUALIFICATIONS The University of Toronto requires that candidates must have a PhD at the time of appointment, in one of the following fields: Health Informatics, Biomedical Informatics, Information
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Information Computational complexity in adiabatic quantum computation AI to boost quantum technologies (e.g., machine learning for quantum error prevention/mitigation/correction) Quantum machine learning
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(macro). Advances in cutting-edge technologies such as Machine Learning, Natural Language Processing, and Generative Artificial Intelligence have paved the way to exciting opportunities to transform health