522 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at University of Toronto in Canada
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international partners to foster community and to create innovative learning opportunities for students. Hart House operates from a historic facility on the St. George campus, as well as a 150-acre farm in
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, learning management systems, content management systems and survey tools Excellent communication and interpersonal skills, tact, political acuity and diplomacy Strong organizational skills and demonstrated
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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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. Troubleshooting complex computer system problems and network connectivity issues. Executing security measures for network devices and introducing variations as required, using institutional firewalls and/or
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 18 days ago
an international learning experience during Reading Week that will have an additional cost and application process. Session: May 1, 2026 – June 30, 2026 Lectures: Tuesdays 9:00 AM – 11:00 AM and Thursdays 9:00 AM
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approachable and flexible, self-motivated to complete tasks, adaptable to changing work situations, and must work well in an inclusive and diverse environment Possess basic computer skills in order to manage
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and booking travel. Excellent professional written and oral communication Excellent interpersonal and customer service skills Advanced computer skills in MS Office (e.g., Word, Outlook Calendar, Excel
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skills, including the ability to work with a broad range of information systems tools including spreadsheets, databases and sponsor-based electronic systems. Superior ability to work collaboratively with
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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