509 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at University of Toronto
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 9 days ago
grading a make-up exam if required. How to apply: If interested, please reply to: jobsmcs.utm@utoronto.ca with the following information: 1) CUPE 3902 (Unit 3) Employment Application Form: https://uoft.me
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585 University Avenue, PMB 1-284, Toronto, Ontario, Canada M5G 2N2, or by email to radiology.careers@uhn.ca For more information about our Department, please visit https
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at https://uoft.me/CUPE-3902-Unit-3-Application-Form ) by email to m.scarci@utoronto.ca . This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. The position above is tentative
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the SASW/CASW or CASWE. The successful candidate will be required to work flexible hours and travel. To learn more about the Ministry of Social Services, please visit our website: https://www.saskatchewan.ca
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Course Description: In Complexity of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class
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/ To learn more about Social Services, please visit: http://www.socialservices.gov.sk.ca/ This competition will be used to create an eligibility list that will be valid for up to 6 months and will be used
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and curriculum for the course Teach the course in a synchronous format Evaluate student performance Hold office hours and meet with students as they request Manage a team of teaching assistants Handle
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 19 days ago
of Openings: est. 1 Lecture Sections: TU & TH 13:00-15:00 Course Description: In this course, students will learn skills and techniques to communicate effectively in an organization. Creativity, innovation and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 19 days ago
tools, students learn the fundamentals of processing, visualizing, and identifying patterns from data to draw actionable insights and improve decision making in business processes. Students will also
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. For details on the University of Toronto academic clinical faculty requirements for advanced training and demonstrated scholarship for the job descriptions of CT, CE, CI, and CQI, please see Table 2 at https