16 machine-learning-"https:"-"https:"-"https:"-"https:"-"Aix-Marseille-University" positions at Thompson Rivers University in Canada
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Application Restrictions Open to both Internal and external Job Type Open Learning Faculty Member Posting In effect from 17/10/2025 Closing Application Date 31/10/2025 OLFM Type Regular Continuous
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Application Restrictions Open to both Internal and external Job Type Open Learning Faculty Member Posting In effect from 17/10/2025 Closing Application Date 31/10/2025 OLFM Type Regular Continuous
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The Department of Computing Science requires a sessional instructor to teach COMP 3450, Human-Computer Interaction , in the Winter 2026 semester. Duties include delivering lectures and seminars, as well as marking
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and departments, including but not limited to Finance, Continuing Education, Admissions, International Admissions and Records, University Scheduling Services, Open Learning and advising groups, with
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departments for related recruitment computer and software systems. Develops and documents systems and procedures. Coordinates and oversees the updating of virtual resources: PS BC, School Finder, Virtual Fairs
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utilize complex spreadsheets and financial models. Advanced computer skills in Microsoft Office (Excel, Word, Outlook, PowerPoint, etc.). Strong skills at providing positive and improved client focused
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RESPONSIBILITIES Thompson Rivers University is seeking a sessional faculty member who will teach one section of EDLL 3160: Literacy Across the Content Areas. Wednesdays and Fridays, 12:30 p.m to 2:20 p.m CALENDAR
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of Elders to our campus and our students learning of traditional ways of knowing and languages. In this spirit, TRU acknowledges Elders and traditional knowledge keepers as valued educators. Experience as a
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The Department of Communication and Visual Arts seeks qualified candidates to teach one section of CMNS 2150: Collective and Connective Indigenous Voices for the Winter 2026 semester. This course focuses on
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-year Limited Term Contract (LTC) as a Teaching Assistant Professor (80% teaching, 20% service). Teaching faculty members instruct within lecture, lab, and/or seminar classes totaling 8 course-equivalents