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. Research Associate in Bioinformatics and Machine Learning Applications to Stem Cell Bioengineering The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking a
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, leave replacement position in the Faculty of Engineering Workshop (https://www.mcgill.ca/engineering/faculty-staff/services-resources/faculty-workshop-services ). Position Summary: Under the direction
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 4 hours ago
computer package will be used. Course Enrolment (Estimated): 120 Number of Positions: 1 TA Support: 50 hrs per tutorial & per semester Sessional Dates of Appointment: July 1, 2026 – Aug 31, 2026 Class
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of an Indigenous language, which includes using a computer. Focus is on nouns, verbs, prefixes, and suffixes, along with specific Indigenous lexicon. Posting Dates: March 04 - 10, 2026 Application Deadline: March 10
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 3 hours ago
, and teaching mode see the University of Toronto, Timetable Builder at: https://ttb.utoronto.ca/ . Faculty/Division: University of Toronto Mississauga. Department/Subject Area: Communication, Culture
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on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day. The Department of Electrical and Computer Engineering has
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that incorporate artificial intelligence and machine learning or climate change and human health are of particular interest. BWF believes that a diverse scientific workforce is essential to the process and
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or information technology. The course will cover material that is relevant to health informatics and focus on the understanding of hardware and software systems. We will focus on the proper design and
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-generation smart factories. The candidate's technical skill set must seamlessly bridge: Control Theory and System Dynamics Machine Learning, Sensor Technology and Data Analytics, Mechanical/Electromechanical
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Course Description: In Complexity of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class