1,669 machine-learning-"https:"-"https:"-"https:"-"https:"-"The-Open-University" positions in Canada
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, biochemistry, molecular biology, protein engineering, computer science, artificial intelligence/machine learning, biophysics, nanotechnology, etc., are encouraged to apply.
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Application Restrictions Open to both Internal and external Job Type Open Learning Faculty Member Posting In effect from 23/2/2026 Closing Application Date 9/3/2026 OLFM Type Regular Continuous
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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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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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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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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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leadership. You will also collaborate with other partners in Temerty Medicine and external stakeholders on opportunities for new techniques and innovations, such as machine learning, to advance data analytics