2,466 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Canada
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data science. As part of its mission, CDSI offers workshops on topics related to programming languages, data science, machine learning, natural language processing, cluster computing, and advanced
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End Date October 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 for all faculty
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
materials and equipment including heavy duty electric buffers, automatic floor machines, large dust mops, vacuum cleaners, carpet cleaning equipment and other cleaning equipment; Reconditions floors as
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verbally and in writing. Ability to work effectively independently and in a team environment. Ability to learn new computer programs and use computers effectively. Ability to exercise tact and discretion
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guiding principles — driving positive impact; decolonization, indigenization and equity; environmental sustainability; emerging as a vibrant hub; student centered approaches; innovation in learning teaching
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Engineering side, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our
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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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development of learning plans including remediation, probation and professionalism plans. Nature of Work: This position reports to the Manager, PGME and liaises closely with the Associate Dean PGME and PGME
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: · Enrolled in a graduate program related to data science, or health sciences/medicine disciplines · Advanced knowledge of natural language processing, data science, statistics and machine learning
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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