744 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at McGill University in Canada
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the course description Knowledge of the Quebec Education program (QEP) and the curriculum of the partnering school board with whom this course is being given in collaboration. Familiarity with the 13
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project, funded by Health Canada since 2004 under the Official Languages Health Program, is focused on initiatives to build and maintain the capacity of bilingual health and social services professionals in
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, psychological, sociological and educational perspectives History of methods Current approaches and teaching methods 2. Knowledge of the Quebec Education program (QEP) specific to ESL programs and the curriculum
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of Engineering, Dean’s Office Course Title and Course Number: FACC 300 Engineering Economy Estimated Number of Positions: 1 Total Hours of Work per Term: 50 Position Summary: The grader is responsible
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needs OFNIE Additional Requirements: Expert knowledge of course content as outlined in the course description. Knowledge of the Quebec Education program (QEP) and the curriculum of the partnering school
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-hour Teaching Assistant position for CHEE582 (Polymer Science and Engineering) taught by Prof. Milan Maric during the W2026 term. Position Summary: Teaching Assistant position as governed by the AGSEM
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Tenure-track Position in the Department of Educational and Counselling Psychology (ECP), McGill University Assistant Professor: School/Applied Child Psychology Program Land Acknowledgement McGill
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to apply. You have until midnight the day before the deadline to apply to submit your application. Applicants should submit: a) CV; b) proposed course outline; c) MCLIU application form https://www.mcgill.ca
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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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Science, Computer Engineering, Software Engineering, or a related field. Skills & Expertise: Proven experience with LLMs and RAG systems, both commercial and open-source. Proficiency in Python and leading ML