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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 17 hours ago
to work independently, e.g., experience presenting research; experience supervising students Computer skills include mastery of programming languages (Fortran, R, Python, MATLAB) Modelling packages
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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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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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. 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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, 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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machine learning algorithms. It also serves as a foundation for more advanced ML courses. The students will learn about ML problems (supervised, unsupervised, and reinforcement learning), models (linear and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 18 hours ago
/Mississauga-2025-26-FallWinter-Sessional-Lecturer-Positions-ON/594938417/ ------------------------------- CCT111H5S Critical Coding This experiential learning course introduces students to the practice and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 20 days 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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statistics, regressions, uncertainty modeling, simulation and optimization modeling, data mining and machine learning, text analytics, artificial intelligence and visualizations can be implemented and applied
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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