489 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at University of Toronto in Canada
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 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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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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of general office practices, procedures, protocols, computer database systems and other duties as required. Typically, the knowledge required for this position is obtained through the completion of an office
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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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Existing Vacancy: Yes 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
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computer skills including the ability to work with a broad range of information system tools including spreadsheets, databases, and information systems and web-based applications. Demonstrated ability
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will have knowledge of: financial accounting principles and practices; financial management practices and internal control procedures; computer applications including Microsoft Windows, Word, Excel
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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
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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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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