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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 7 hours ago
for the conceptual and methodological intersections that exist between geographical information systems and population health. While population health can include incidence and prevalence of disease and ill-health, as
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF1343H – Data Modeling and Database Design Course Description: The purpose of this course is
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and Mental Health. The successful candidate must already hold, or be eligible for, a Full-Time Clinical (MD) or Status-Only (PhD) academic appointment with the Temerty Faculty of Medicine, U of T
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content High-school student outreach Promoting the Acceleration Consortium’s training products Qualifications: Essential Qualifications: PhD Degree in chemistry, materials science, chemical engineering, AI
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earned a PhD in Operations Management or a PhD in a field related to Operations Management, such as Information Systems. We seek candidates whose teaching interests complement and enhance our existing
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this posting, the rates stated in the collective agreement shall prevail. Minimum Qualifications: PhD Degree in Bioethics, Health Policy, or related field. Advanced knowledge and experience with social science
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to apply. Candidates must have earned a PhD degree in Information Studies, Library Science, Archival Studies, Museum Studies, Media Studies, Communications, Cultural Studies, History, Anthropology, Sociology
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for information organizations, and the role of effective administration in the provision of information services through selected theories, principles, and techniques of administrative science, library and
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online office hours. Estimated course enrolment: 60 TA support: None Class schedule: During the scheduled Arts and Science fall term (Sep-Dec), with weekly on-line lectures and an active learning
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. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2026. Candidates must have earned a PhD degree in Philosophy, Statistical Sciences, or a closely related field