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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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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 | 3 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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days 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
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experience in optimization, machine learning, control systems, or robotics is desirable. No other specific qualifications beyond and a willingness to learn within an interdisciplinary team. If you have any
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commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications An ideal candidate will have a PhD in a science related field or MD with
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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 to employment equity helps