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to thoughtfully and conscientiously shape the field of the future. With our robust and comprehensive educational training programs (DDS, MSc, PhD degrees, IDAPP and other specialty programs), our emphasis
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for modelling and analyzing information systems in their application contexts. Systematic techniques for representing and analyzing process and data, use cases and scenarios, stakeholder goals and relationships
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for modelling and analyzing information systems in their application contexts. Systematic techniques for representing and analyzing process and data, use cases and scenarios, stakeholder goals and relationships
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related to biological knowledge of the wet lab experimentation required to gather imaging data is an optional benefit. This posted position is for a Staff Scientist at SDL6 (Human Organ Mimicry). Expertise
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2404H LEC5101 – Special Topics in Information: Explainability & Fairness for Responsible Machine
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 22 hours ago
group of faculty members from universities across the world. Our building boasts state-of-the-art lecture halls, case rooms, and research labs, a dedicated data modeling lab, as well as event spaces
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Sessional Lecturer Position Posting Date: July 14, 2025 Program: Master of Health Informatics (MHI) Sessional dates of appointment: Fall 2025 September to December Course Description: This capstone
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of Information Campus: St. George (Downtown Toronto) Description: The Faculty of Information at the University of Toronto invites applications for a full-time tenure stream position in Digital Curation and
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techniques used in systems analysis. This course will cover conventional systems analysis methods as well as recent developments. Modelling approaches considered will include process modelling, data modelling