457 embedded-system-"https:"-"https:"-"https:"-"https:" positions at University of Toronto in canada
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: 00056458 Existing Vacancy: Yes Description: About us: The Operations unit in the University Registrar's Office is responsible for providing advice and support to academic divisions and Strategic Enrolment
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Date Posted: 09/21/2026 Closing Date: 11/16/2026, 11:59PM ET Req ID: 48726 Job Category: Faculty - Tenure Stream (continuing) Faculty/Division: Faculty of Arts & Science Department: Cell and Systems
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us: The University of Toronto Libraries (UTL) system is the largest academic library in Canada and is ranked in the top five among peer institutions in North America. The system comprises 40 libraries
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us: The University of Toronto Libraries (UTL) system is the largest academic library in Canada and is ranked in the top five among peer institutions in North America. The system comprises 40 libraries
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the successful adoption and deployment of systems by introducing the fundamental concepts of human factors and the principles and strategies associated with organizational change management. The course will focus
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Course Description: This course examines how human factors informs the design, delivery, and improvement of healthcare services in complex socio-technical systems. Rather than centering on individual apps
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
mastery in the subject matter. Candidates should provide results of teaching evaluations, when available. Closing Date: 07/29/2026, 11:59PM EDT This job is posted in accordance with the CUPE 3902 Unit 3
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& Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and
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pre-recorded lectures. Data are increasingly being collected digitally throughout our healthcare system. New sources and uses of data could help improve patient outcomes, lower health system costs, and
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) Description:Artificial Intelligence (AI) and Data Informed Decision Making (DIDM) rely heavily on data and the use of AI and DIDM is necessary in order to maintain competitiveness in modern manufacturing. Industry