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. Graduate Teaching Assistant MEDI_V 504A and B Emerging Topics in Experimental Medicine Winter Term (October 20, 2025 to February 27, 2026) Job Description The Experimental Medicine Graduate Program (https
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application of these techniques to the domain of information science. Topics will include software principles and practices, programming concepts and techniques, data structures, and algorithms. This course is
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University of Guelph, AI Lab, School of Computer Science Position ID: University of Guelph -AI Lab, School of Computer Science -AIPLANTS [#29973] Position Title: Position Location: Guelph, Ontario
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computational methods such as machine learning (ML), natural language processing (NLP), multi-modal large language model algorithms (LLMs), network analysis, and/or data mining to study the influence of digital
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achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. Job Summary The Vision of the BC Brain Wellness Program is Brain
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), debuggers, code verifiers and unit test frameworks and gain experience in graphical user interface design and algorithm development. Posting end date: July 11, 2025 Number of positions (est): One (1) position
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Computer Science or related field (recommended). Any educational training in Biology/Ecology would be considered an asset. Experience: Experience in python and web programming, image analysis algorithms, developing
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efforts in the Algorithm and Harmonized Data Working Group and other Working Groups/Teams as necessary. Network and Research Administration Facilitates the operationalization of the Canadian Data Platform
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Engineering Department: Electrical & Computer Engineering Campus: St. George Contact Email Address: ugta.ece@utoronto.ca Course Number and Title: APS105H1 S – Computer Fundamentals Course Description: An
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there is a change to the date/time) Location: Chancellor Day Hall Course Description: Technology law of how to regulate AI algorithms. How technological innovation produces social change: human