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title: CSC2515HS - Introduction to Machine Learning Please note, this position is a 0.5 FCE appointment. Course description: Machine learning (ML) is a set of techniques that allow computers to learn
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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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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 hour ago
skills. Excellent analytical and problem-solving skills. Familiarity with technology and emerging trends in machine learning and artificial intelligence applications within academic libraries. Active
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 hour ago
- Parallel Programming (emergency posting) Course description: Introduction to aspects of parallel programming. Topics include computer instruction execution, instruction-level parallelism, memory system
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 hour ago
looking for a career at one of Canada’s top employers? Work where the world comes to think, discover and learn. Consider a career at the University of Toronto. About the University of Toronto Libraries
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. Proficient use of Microsoft Office, spreadsheet, and databases. Advanced knowledge of learning management systems, technology-enhanced learning solutions, as well as a range of computer applications, web
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Date Posted: 07/07/2025 Req ID: 44107 Faculty/Division: OISE Department: Dept of Curriculum, Teaching & Learning Campus: St. George (Downtown Toronto) Position Number: 00056526 Description: About us
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: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and community while discovering new ways
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: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and community while discovering new ways