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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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, 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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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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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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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
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advances in artificial intelligence, machine learning and multidisciplinary design optimization for the synthesis of next-generation autonomous air systems. We seek researchers who can collaborate across
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 11 days ago
: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough
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position in experimental chemistry, with a preference for candidates able to teach in the areas of physical chemistry, inorganic chemistry or organic chemistry. The research area is broadly defined and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 4 hours ago
information about the Department of Computer and Mathematical Sciences or the tri-campus Department of Computer Science, please see our respective websites http://www.utsc.utoronto.ca/cms/ and https
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candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include