468 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at University of Toronto
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relationships with stakeholder groups, and work collaboratively on a team; · The ability to instruct, guide, coach and encourage others effectively; · The ability to use applicable computer
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Engineering side, 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
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Date Posted: 03/11/2026 Req ID: 47324 Faculty/Division: Faculty of Applied Science & Engineering Department: Department of Electrical & Computer Engineering Campus: St. George (Downtown Toronto
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perspectives and help students develop the skills to apply what they learn in the classroom to the world around them. We are also home to professors committed to undergraduate education from a range of
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, including in-car camera systems, body-worn cameras, ALPR technology, driver’s license scanners, in-vehicle printers, officer cellular devices, mobile connectivity infrastructure, digital evidence management
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
; Answers and reacts promptly to all trouble calls or alarms from buildings, as well as from adjacent nearby buildings during off hour and weekend shifts; Reviews computer printouts and alarms and takes
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knowledge of applicable computer hardware and software applications and terminology, as well as your ability to accurately compose and/or edit a variety of correspondence will contribute to your success in
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: About us: OISE is recognized as a global leader in graduate programs in teaching and learning, teacher education, and education research. OISE’s hub, the Registrar's Office and Student Experience (ROSE
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on current technologies, best practices and industry standards Essential Qualifications: Bachelor's Degree in Computer Science, Computer Engineering, or related discipline, or an equivalent combination
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) Position Number: 00030202 Description: About us: The Division of Student Life connects life to learning. We believe every student should have the opportunity to actively participate in university life, and