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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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Engineering Research Associate: Advanced Renewables 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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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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junior research team members (including undergraduate research trainees). Qualifications ● PhD in computer science, bioinformatics, data science or similar, with a focus on machine learning
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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
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 17 hours ago
, although candidates are expected to have established strengths in spatial statistics and/or applied machine learning. Grounded in the CERC-NEST goal of connecting statistics with knowledge co-production
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, Computer Science, Computer Information Systems, Data Science, Environmental Science, Geology, and General Science which allow students to prepare for a variety of exciting careers in science and technology
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will be at the rank of Assistant Professor, Teaching Stream, with an anticipated start date of July 1, 2026. Applicants must have a PhD degree in Electrical and Computer Engineering, or a related field
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student - $20/h + 4% vacation indemnity; PhD student $23/h + 4% vacation indemnity Hours: Up to 3 hours per week Duration: ASAP to March 31st, 2026 Teaching and Academic programs is seeking forty (40) U3-U4
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Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and interest in applying IKS