848 systems-science-"https:" "https:" "https:" "https:" "U.S" positions at McGill University
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. Provides insight and understanding of the Quebec modern elementary mathematics program. Posting Dates: April 9 - 19, 2026 Application Deadline: April 19, 2026 CL Credits: 3 (This course is not team-taught
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the Department of Integrated Studies in Education (https://www.mcgill.ca/dise/ ), the Department of Kinesiology and Physical Education (https://www.mcgill.ca/edu-kpe/ ), and the Department of Educational and
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Union collective agreement; https://www.mcgill.ca/hr/fi les/hr/mcliu_collective_agreement_-_fi nal_version_for_printing_0.pd McGill University is an English-language university where most teaching and
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- FACC 300 - Summer 2026 - sec 001 Hiring Unit: Faculty of Engineering Dean’s Office Course Subject Code and Title: FACC 300 Engineering Economy Term: Summer 2026 Number of credits: 3 Salary: $11 479
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degree in Mechanical Engineering, and a strong commitment to excellence in research and teaching. Evidence of outstanding research achievements, or research potential, is essential. Preferred
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/workday_guide_for_candidates_extenal_eng.pdf Knowledge Base Guide on how to apply for internal applicants: https://www.mcgill.ca/hr/files/hr/workday_guide_for_candidates_internal_eng.pdf McGill University is committed to equity and diversity
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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Position in Applications of Artificial Intelligence in Engineering, Department of Electrical and Computer Engineering, McGill University The Department of Electrical and Computer Engineering at McGill
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offerings and enrolments. Hiring Unit: School of Continuing Studies, Technology and Innovation Academic Domain Course Title and Course Number: CCCS 300 - Programming Technique 1 CCCS 321 - Operating Systems
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completion) in epidemiology, public health, social sciences, or a related field. Demonstrated expertise in systematic review or evidence synthesis. Experience with large survey or population datasets is an