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Date Posted: 06/26/2025 Req ID: 43819 Faculty/Division: Faculty of Applied Science & Engineering Department: Cross-Disciplinary Programs Office Campus: St. George (Downtown Toronto) Description
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to support decision-making processes in health care. Apply theoretical concepts from social and information sciences in the design, implementation and evaluation of health informatics initiatives. Discuss
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CUPE Local 3902 (Unit 3) Job Posting Sessional Lecturer Position Posting Date: May 2, 2025 Program: Executive Master of Health Informatics (eMHI) Sessional Dates of Appointment: Fall 2025
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course (INF2138H – AI in Library Science: Social, Political, Practical Impacts) explores the transformative role of Artificial Intelligence (AI) in the field of library and information science, with a
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Sessional Lecturer, INF2205H - Designing Sustainable & Resilient Machine Learning Systems with MLOps
theoretical and practical aspects of MLOps. INF2205H – Designing Sustainable and Resilient Machine Learning Systems with MLOps Estimate of the course enrolment: 35 Estimate of TA Support: None anticipated
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as a methodological paradigm. This course covers various phases of MMR, including its theoretical frameworks, research designs, strategic mixed methods sampling, data collection methods, data analysis
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method and theoretical frame to understand human experience in social, cultural and evolutionary contexts. Our program reflects the diversity of the field which we see as a source of intellectual
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Sessional Lecturer Position Posting Date: May 2, 2025 Program: ExecutiveMaster of Health Informatics (eMHI) Sessional Dates of Appointment: Fall 2025, September to December Course Description: Data
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 24 days ago
investigated. Topics include project estimating, costing and evaluation, organizing and managing project teams, quantitative methods for project planning and scheduling, introduction to computer-based project
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Programming Dataset curation, database management, and data-mining skills Computational chemistry pipelines, and physics-informed material discovery Additional expertise that is desired (but not required