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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2332H – Information Behaviour Course Description: Information behaviour is used to describe
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 days ago
Candidates must have: A PhD in Mathematics, Physics, Biological Engineering, or a closely related field, as part of the UBC requirement. A developing record of research excellence in data-driven mathematical
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the emerging and persistent threats to global health (e.g., NTD, climate change, infectious diseases), underscoring the need for global health and implementation science to address the greatest challenges of our
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of Social Work delivers student, programs and registrarial services to support the Faculty’s academic goals and priorities in the areas of student engagement and information, interpretation of policies, and
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of genetic data; and population genetics. Recent judicial decisions, regulatory guidance, and other policy directions will help to inform discussion of the evolving landscape of health policy and practice
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2145H – Cataloguing and the Creation of Bibliographic Data Course Description: Cataloguing is an
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF411H1 – Information in the Global Economy Course Description: This course (INF411H1
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2224H – Service Design Course Description: This course (INF2224H — Service Design) examines
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Date Posted: 06/16/2025 Req ID: 43604 Faculty/Division: Faculty of Arts & Science Department: Dept of Near & Middle East.Civilizations Campus: St. George (Downtown Toronto) Description: NMC264H1
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develop cross-disciplinary collaborations with experimentalists and modelers in both departments, and bring modern data-driven computational modelling approaches to study cutting-edge cell biology and/or