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: GLA2024H Intelligence and Cybersecurity in Global Politics Course Description: Information technology is ubiquitous. It powers the global economy, improves government administration, enhances military power
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, 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. On the Mechanical Engineering side, research areas
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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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Date Posted: 05/01/2024 Req ID: 37190 Faculty/Division: Faculty of Applied Science & Engineering Department: Department of Electrical & Computer Engineering Campus: St. George (Downtown Toronto
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of Post-doctoral experience with demonstrated academic and research expertise in the field of distributed systems. Skills – Strong background in distributed systems and machine learning. Ability to work
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Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Software Engineering
. An additional two-year renewal may be possible. Applicants must have earned a PhD degree in electrical and computer engineering or a related area by the time of appointment, or shortly thereafter with a
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of three facets of Machine Learning, RL has far broader scope than the narrower tools of supervised and unsupervised learning. RL, being founded on agent design, has the goal of developing artificial
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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 | 7 days ago
of similar faculty searches in Anthropology, Arts, Culture & Media, Biological Sciences, Computer & Mathematical Sciences, Management, and Physical & Environmental Sciences. New colleagues will have
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of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class provides an overview of how clinicians