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activity and health through outstanding undergraduate and graduate education programs, cutting-edge research and the delivery of sport, recreation and high performance athletic opportunities for students
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' experience. Experience in programming and operation of computer numerically controlled machines(CNC) and computer aided design (CAD/CAM) to produce custom machined and fabricated components. Demonstrated
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academia as well as the private sector. As Lab Technician, you will be part of a broader team where you will oversee day-to-day lab operational needs and perform lab experiments. You will also contribute
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, coaching and motivating high-performing teams. The ideal candidate should have significant experience in working with complex student information systems. Expert knowledge of ROSI (or similar), CRM systems
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
, the Assistant Director translates high-level data strategy into actionable insights that guide long-term divisional planning. The Assistant Director, Planning Analytics plays a vital role in supporting data
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
the initiatives of the Office of the VP Research & Innovation. The incumbent will be expected to perform research with a high degree of independence and will design, direct, execute, analyze and present in written
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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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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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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