521 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at University of Toronto in Canada
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teaching, learning, and research requirements. They are subject matter experts; they are skilled in research data management, collections, statistics, GIS, metadata, digital preservation, scholarly
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and the contract management life cycle. Proficient use of computer hardware and software programs, including but not limited to Microsoft Office, Word, Excel, PowerPoint, CRM, Outlook and TEAMS
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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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analytical and problem-solving ability; strong presentation skills with demonstrated ability to conduct training sessions and instruct others; excellent organizational skills; write clear, concise procedural
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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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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