179 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Canada
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to the successful pursuit 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
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Research Assistant contributes to Dr. Prisman’s research lab in head and neck reconstruction technology by researching and developing machine learning modules and other software tools to improve
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effectively under pressure to meet deadlines. Attentive to detail, with the ability to work quickly and accurately. Excellent computer skills and ability to learn and adapt to new and emerging software and
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of Mechanical Engineering seeks a full-time Research Assistant 2 to support a short-term project focused on Vision-Based Localization and Mapping for Autonomous Navigation in Mill Yard. Log-loading machines
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on the Posting End Date. Job End Date December 31, 2026 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning
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March 30, 2027 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and
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Research Assistant 2 position is based in Prof. Amin Emad's research lab in the department of Electrical and Computer Engineering. The RA 2 will work in collaboration with the Research Supervisor to develop
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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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is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness
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on the Posting End Date. Job End Date March 15, 2027 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning