2,276 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" uni jobs in Canada
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The focus of the Students Division is to serve and support the academic and non-academic growth and development of students. Our strength is in our approaches to peer-to-peer learning and student
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program related to data science, or health sciences/medicine disciplines Advanced knowledge of natural language processing, data science, statistics and machine learning Education or work experience in
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data science, or health sciences/medicine disciplines Advanced knowledge of natural language processing, data science, statistics and machine learning Education or work experience in health sciences
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program related to data science, or health sciences/medicine disciplines Advanced knowledge of natural language processing, data science, statistics and machine learning Education or work experience in
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program related to data science, or health sciences/medicine disciplines Advanced knowledge of natural language processing, data science, statistics and machine learning Education or work experience in
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data science, or health sciences/medicine disciplines Advanced knowledge of natural language processing, data science, statistics and machine learning Education or work experience in health sciences
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conduct machining tests with graduate students, produce parts for research laboratories, maintain the machines, and learn and operate machine tool measurement instruments. Organizational Status Reports
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The Computer Science Department invites applications for a Sessional Lecturer to teach the following course during the 2026 Summer session: Course Number, Section, and Name: CMPT 215.3, (02
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
-operative education, combining academic study with alternating work terms, for 50 years. Co-operative education gives students an opportunity to test skills learned in the classroom, and to expand
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uncertainty estimation, risk-aware prediction,and data-efficient learning Continual, transfer, and meta-learning, with emphasis on sim-to-real and real-to-simgeneralization Applied machine learning on real