520 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs at University of Toronto in Canada
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information, establish and maintain agreements, identify solutions, and develop and maintain standards. The ability to plan, develop and deliver information and/or facilitate workshop sessions at a level
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, with emphasis on sim-to-real and real-to-sim generalization Applied machine learning on real-world experimental or industrial data, including multivariate time-series and noisy, sparse, or incomplete
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have knowledge of general office practices, procedures and protocols and computer database systems. Our candidates of choice will consistently demonstrate our core values of respect and integrity
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skills, particularly with Microsoft Excel and Access To be successful in this role you will be: Accountable Decisive Organized Proactive Problem solver Tactful Closing Date: 02/03/2026, 11:59PM ET Employee
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health in Canada. Experience teaching graduate-level courses, preferably in health informatics or related field Demonstrated ability to relate to mature students and facilitate group learning processes
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Sessional Lecturer-eMHI2003H Emerging Applications in Consumer, Public and Global Health Informatics
population health in Canada. Experience teaching graduate-level courses, preferably in health informatics or related field Demonstrated ability to relate to mature students and facilitate group learning
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 18 days ago
related to academic writing. Demonstrated experience using active learning strategies in the university or college classrooms. Preferred Qualifications: Demonstrated experience working with first-year
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 18 days ago
writing. Demonstrated experience using active learning strategies in the university or college classrooms. Preferred Qualifications: Demonstrated experience working with first-year university students
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delivering lectures using a strong active learning component on communication curriculum in course conducting weekly course planning meetings with engineering lecturer and TA(s) performing an appropriate
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35,000 undergraduate and graduate students through world-class teaching and learning opportunities. It is one of few faculties with the interdisciplinary DNA and global outlook to meaningfully collaborate