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selected as one of Canada’s Best Diversity Employers and a Greater Toronto’s Top Employer for 2015, 2016, 2017 and 2018. To learn more about our work environment, colleagues, leaders, students and innovative
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technical subjects such as programming, data science, machine learning, and algorithmic fairness is highly desirable. Candidates must have teaching experience in a degree-granting program, including lecture
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Sessional Lecturer, INF2205H - Designing Sustainable & Resilient Machine Learning Systems with MLOps
University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2205H – Designing Sustainable and Resilient Machine Learning Systems with MLOps Course
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). We seek candidates able to contribute to curricular development and to teach across our diverse professional (BI, MI, MMSt) and research (PhD) programs. Evidence of excellence in teaching will be
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Learning Course Description: Machine Learning applications are increasingly utilized to make crucial decisions in many sectors of our economy and society. These include, but are not limited to, healthcare
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2179H – Machine Learning with Applications in Python Course Description: Machine learning has
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 5 hours ago
-disciplinary research program will align with the priority areas of ‘Body function and mobility across the health continuum’ in the Faculty of Health and ‘AI and Machine Learning’ in the Faculty
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+), particularly in active learning environments, and experience in teaching computer programming, data science, or software design. Preferred Qualifications: include a PhD in an appropriate discipline (as above
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. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content
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Sessional Lecturer - HIS311H1F Canada in the World Course Description: Ranging from the fifteenth through to the turn of the twenty-first century, students will learn about the treaties, trade