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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 19 days ago
an interprofessional shared care model. The team delivers student-focused care and support that is compassionate, culturally responsive and evidence-based and supports students in achieving their goals and potential by
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personality psychology; or behavioural neuroscience. Possible foci include AI applications in big data analysis (social), brain and thought process modeling (developmental, cognitive neuroscience), or multi
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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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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 | 2 months 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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. Demonstrated specialized knowledge in education and understanding experiential learning and reflection models. Experience with negotiation and conflict resolution to resolve practicum or student-related issues
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months 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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is a catalyst for transformative learning, insights and public engagement, bringing together diverse views and initiatives around a defining purpose: to create value for business and society. We make a
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, reaction prediction, condition optimization, retrosynthesis, interpretable machine learning, nature language processing for data-mining and human-robot interfacing, and generative models (e.g. GANs, VAE, and