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The University of Toronto requires that candidates must have a Ph.D in Electrical and Computer Engineering, Computer Science, or a related field, with a demonstrated record of excellence in research and teaching
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and data analysis within an academic setting. More info on the research we conduct can be found here: http://molonc.bccrc.ca/ Organizational Status Working in a research software development team
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
, Culture and Media, University of Toronto Scarborough using the online application system found at https://www.utsc.utoronto.ca/webapps/cupehiring/dept/acm/app/sl All applicants to Studio Art positions must
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, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making
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Workspace Guidelines The successful applicant will be required to provide the following current verification(s) where 'Yes' is indicated below. Further information is available at: https://careers.usask.ca
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University of Victoria | Victoria Central British Columbia Provincial Government, British Columbia | Canada | about 2 months ago
programming in Industrial Ecology. Teaching-stream applicants with significant industry experience. The Department of Civil Engineering is one of four departments in the Faculty of Engineering and Computer Science
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Quantum cloud technologies The Department of Applied Mathematics is one of four departments that, together with the School of Computer Science, comprise the Faculty of Mathematics at the University
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Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
JDMI & UHN, please visit: https://www.uhn.ca/MedicalImaging For more information about the Department of Medical Imaging at the University of Toronto, please visit: https://medical-imaging.utoronto.ca
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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at the Fields Institute from July 1 - December 31, 2026. More information on the program will be posted here as it becomes available: https://www.fields.utoronto.ca/activities/26-27/quantum-algorithms