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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 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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, 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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of study for both PhD and Master's include, but are not limited to: Information, Computer Science, Human-Computer Interaction, Design, Engineering, or Informatics. A PhD is strongly preferred. Candidates
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: About us: Founded in 1827, the University of Toronto has evolved into Canada’s leading institution of learning, discovery and knowledge creation. We are proud to be one of the world’s top research
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 24 days ago
or PhD) in English or an equivalent combination of education and experience. EXPERIENCE: Minimum seven (7) years’ experience in progressively responsible senior positions with experience in writing
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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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. The appointment as Director will be for a 5-year-term, renewable following a favourable review. Applicants must have earned a PhD degree or equivalent terminal degree in a relevant field, and have a distinguished
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architecture. They will be able to understand and apply basic principles of cognitive psychology, industrial design, systems analysis and human-computer interaction to the practice of information architecture
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applied machine learning, robotics, laboratory automation, and materials discovery and will be delivered across numerous platforms, including micro-credential programs, academic courses, hands-on workshops