741 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of British Columbia
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challenged the status quo. UBC encourages its students, staff and faculty to challenge convention, lead discovery and explore new ways of learning. At UBC, bold thinking is given a place to develop into ideas
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diverse workforce 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
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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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and sustaining a diverse workforce 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
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July 2026. Visit https://cancerexercise.med.ubc.ca/ for more information on Dr. Campbell and the Cancer Exercise and Physiotherapy Lab. Work performed: Reporting to Dr. Kristin Campbell, the successful
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, 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 students. Our commitment
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on the successful candidate’s specific topical interests. The successful candidate is expected to develop an internationally recognized research program, teach at the undergraduate and graduate level, supervise
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interprofessional learning, team-based care, and research. A core component of the Centre will be a new, purpose-built interprofessional teaching clinic in the Gateway South building on the UBC Vancouver Point Grey
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End Date Ongoing 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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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image