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management patch management. Image deployment processes for the undergraduate computer laboratories. 8. Manages the technological facilities, including selection, purchase and maintenance of equipment and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 4 hours ago
of its collections and partnerships, the Library holds the Syd Bolton Collection of video games and gaming technologies, the Personal Computer Museum of computer games and personal computers, and the EP
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: The McGill University Department of Diagnostic Radiology and the Department of Radiology at the McGill University Health Centre (MUHC) in the Faculty of Medicine and Health Sciences are inviting applications
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: Edward S. Rogers Sr. Department of Electrical and Computer Engineering Campus: St. George (Downtown Toronto) Description: The Edward S. Rogers Sr. Department of Electrical and Computer Engineering (ECE) in
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de recherche du Québec - Santé (FRQS). Position summary The prehabilitation program aims to prepare the surgical patients to overcome the stress of surgery. Under the supervision of the Principal
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of transmission electron microscopes and/or scanning electron microscopes Knowledge of artificial intelligence and machine learning and their applications in electron microscopy Knowledge of computer programming
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 6 days ago
quality control techniques for printing and production using Adobe Creative Cloud software on Apple computers. No prior experience with computer technology is required, as this course will prepare students
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 1 day ago
Columbia V6T 1Z2, Canada [map ] Subject Area: Mathematical and Computational Modelling in Cell Biology and Physiology Salary Range: $CAD 150,000-170,000 Appl Deadline: 2025/09/15 11:59PM (posted 2025/07/09
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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in image analysis. Team player. Education/Experience: Pursuing BSc in Biology or Computer Science. Experience coding in Python. Machine learning experience is a strong asset. Experience with image