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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
posted in accordance with the CUPE 3902 Unit 3 Collective Agreement Course: GGR322H5F: GIS and Population Health (Sci) Description: The purpose of this course will be to develop an appreciation
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF2102H – Geographic Information Systems (GIS) in Libraries Course Description: This course
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(GHN) comprises 18 highly collegial faculty members, who provide tertiary/quaternary-care clinical programs and maintain a high volume, high impact research output in one of the leading GI divisions in
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, learning, and research requirements. They are subject matter experts; theyare skilled in research data management, collections, statistics, GIS, metadata, digital preservation, scholarly communications
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. To perform this role, the incumbent will need to possess various technical skills, including proficiency in SQL, Python, R, or SAS, and have experience working with visualization technologies such as Tableau
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 22 hours ago
undergraduate teaching labs. Note: As part of your application, you must submit links to 1-3 pieces of code you have written in C++ or Python. This can be github accounts, course assignments or personal projects
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., Perl, Shell scripting, Python, or Ruby). Specifically for system administration purposes (e.g., automating encrypted backup, auditing systems, and testing performance to predict hardware failure
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environments with significant research and development. Proficiency in Python and their scientific packages (e.g. NumPy, SciPy, Pandas) Experience with hardware integration, including writing drivers and API
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. Strong coding skills in Python or a comparable programming language are expected, with the ability to develop analysis pipelines and tools that meet project deadlines and are suitable for publication