2,381 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Canada
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: The Faculty of Engineering is searching for eligible candidates as invigilators for the Winter 2026 term FACC 300 midterm exam. For details job description, please visit: https://www.mcgill.ca/engineering/about
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University is one of Canada’s most resourceful and productive hubs of learning and research, fuelling a rich talent pipeline that is supporting social and economic renewal. The university’s smart, caring and
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Description: About us: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and community while discovering
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conduct machining tests with graduate students, produce parts for research laboratories, maintain the machines, and learn and operate machine tool measurement instruments. Organizational Status Reports
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, equipment checks, and others as necessary Teach youth climbing programs through skill development and climbing games Belay climbers and/or assist with auto-belay devices Assist with development of program
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service personnel to solve maintenance problems. Operates, assists, and provides basic troubleshooting of equipment, computer hardware, software, and connectivity problems for library and learning commons
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Repost-Sessional Lecturer-HAD5761H Intro. to eHealth: Informatics, Innovations & Information Systems
Description: This course provides students with a basic understanding of Information Systems theory. The primary focus is on the development and management of information systems and computer applications. It
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and learners by providing training in essential and transferable skills. Join a team passionate about creating transformative learning environments that provide access to, and support post-secondary
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to move ideas from design to prototype. The facility supports undergraduate courses with technical resources accessible to students 7 days a week to aid in their learning through hands-on physical
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biostatistics and epidemiology Expertise in quasi-experimental, econometric methods and other advanced methods (e.g., longitudinal data analysis, trial emulation, interrupted time series, machine learning