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, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary
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dynamic and collaborative academic leader to assume the position of Chair, Indigenous Visual Culture. In addition to the duties as program Chair, the successful candidate will teach courses in the Faculty
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Engineering side, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our
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Mount Royal’s Faculty of Science and Technology offers Bachelor degrees in Biology, Chemistry, Computer Science, Computer Information Systems, Data Science, Environmental Science, Geology, and
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of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and
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The Computer Science Department invites applications for a Sessional Lecturer to teach the following course during the 2026 Summer session: Course Number, Section, and Name: CMPT 215.3, (02
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
and/or handbooks Experience in a university setting with knowledge of academic policies, procedures and regulations Strong computer skills as applied to databases, spreadsheets, word processing and
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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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uncertainty estimation, risk-aware prediction,and data-efficient learning Continual, transfer, and meta-learning, with emphasis on sim-to-real and real-to-simgeneralization Applied machine learning on real