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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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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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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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, composers, and educators, the University of Toronto's Faculty of Music offers a supportive community in one of the world’s most diverse and dynamic cities. We provide a superb learning environment, an
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industry/upskilling educational programs, course designs, and developing workshops for STEM subjects, including but not limited to machine learning, robotics, laboratory automation, and materials discovery
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 13 hours 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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. The incumbent demonstrates and practices instructional leadership in the use of tools, machines and material selection along with assembly techniques, practical demonstrations, and safety. This position requires
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, the Centre for Industrial Relations and Human Resources has brought together professors from many different disciplines and departments at the University of Toronto to teach and conduct research on all aspects