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undergraduate and graduate programs. The Advisor works with an ethno- culturally and academically diverse student population to: perform an assessment of students’ needs during a comprehensive interview, ensure
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machine learning at different levels. The course will give a broad high-level overview of state-of-the-art machine learning methodologies. We shall focus on the application of these techniques to real-world
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for divisional analysts, implement new analytics tools and platforms, and improve access to curated institutional datasets. Support external reporting of institutional data (SMA metrics, key performance indicators
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of physical activity and health through outstanding undergraduate and graduate education programs, cutting-edge research and the delivery of sport, recreation and high performance athletic opportunities
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of Student Information (ROSI), the University’s Student Information System, along with various vendor-supported and specialized web applications in the areas of degree, program and course governance and
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tools for research in self-driving labs. Develop, program, and document software tools to enable device operation (e.g. drivers or API-wrappers), device intercommunication via local network, USB
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programs. The Advisor works with an ethno- culturally and academically diverse student population to: perform anassessment of students’ needs during a comprehensive interview, ensure that appropriate
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laboratory based at the Munk School of Global Affairs & Public Policy, University of Toronto, focusing on research, development, and high-level strategic policy and legal engagement at the intersection
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disability. The program of research should reflect values and principles of inclusiveness. The applicant should have strong collaboration and user engagement skills. The professorship will provide research
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establish an outstanding, competitive, and externally funded research program. Candidates must provide evidence of research excellence of an internationally competitive caliber, which can be demonstrated by