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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 25 days ago
Scarborough Department: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University
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, 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 world
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Description: About us: The University is a global leader in research and teaching. We provide diverse and extensive areas of study organized around intimate learning communities. That is what creates
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 25 days ago
programming includes off-site projects and exhibitions. The Blackwood cultivates cultures of learning, provides mentorship, and facilitates professional development. The Blackwood is at a critical and exciting
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for a full-time tenure stream position in the areas of Machine Learning and/or Self Driving Labs applied to Drug Discovery, Pharmacology and/or Toxicology at the rank of Assistant Professor, with
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Description: About us: The University is a global leader in research and teaching. We provide diverse and extensive areas of study organized around intimate learning communities. That is what creates
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that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction
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the design of user interfaces for machines and software. On computer displays, this refers to the shaping and the presentation of navigation controls and information displays, as well as functional controls
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for a full-time tenure stream position in the areas of Machine Learning and/or Self Driving Labs applied to Drug Discovery, Pharmacology and/or Toxicology at the rank of Assistant Professor, with
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us: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and community while discovering new ways