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. Hourly Salary: $32.00 Hours per Week: 5 (Part time) Location: Sherbrooke 680 Supervisor: Professor Position Start Date: 2025-09-10 Position End Date: 2026-06-30 Deadline to Apply: This position is covered
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commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. Job Summary This is a part-time
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university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing. Hourly Salary: $31.44 Hours per Week: 5 (Part
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in the English language, thereby requiring English communication both verbally and in writing. Hourly Salary: $31.44 Hours per Week: 5 (Part time) Location: Birks Building Supervisor: Associate
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activities are conducted in the English language, thereby requiring English communication both verbally and in writing. Hourly Salary: $31.44 Hours per Week: 3 (Part time) Location: Birks Building Supervisor
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the English language, thereby requiring English communication both verbally and in writing. Hourly Salary: $31.44 Hours per Week: 16 (Part time) Location: Leacock Building Supervisor: Professor Position Start Date: 2025
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                The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
-based program options. More than 50,000 students attend UBC Vancouver. As a PhD student at UBC Vancouver you'll be part of a diverse community of over 3,600 doctoral scholars at an institution
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, (In)Activity, and Nutrition (MAIN) Laboratory is looking to hire a part-time Research Assistant to support the launch of a human skeletal muscle protein metabolism and nutrition-focused research lab
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                The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
be processed and displayed on a custom cloud platform. This position is part of the CLEAR project in collaboration with Rogers and the Bamfield Marine Sciences Centre and will include algorithmic
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learning, offers powerful solutions to automate these tasks and provide reliable real-time information. This doctoral project is part of a 5-year research chair on Computer vision applied to the swine sector