825 systems-science "https:" "https:" "https:" "https:" "I.E" "UCL" positions at McGill University
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not team taught) Number of Positions Available: 2 Term: Summer 2026 Contract Dates: April 27 - June 19, 2026 Course Dates: May 11 - June 5, 2026 Schedule: In-person: Mon, Wed, Thr: 6pm to 9:15pm
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University invite applications for one open-rank (i.e., Assistant, Associate, or Full Professor) tenure-track position in the Information Systems Area. The start date for the position is August 1, 2026
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not team taught) Number of Positions Available: 1 Term: Summer 2026 Contract Dates: April 23 - June 5, 2026 Course Dates: May 4 - 28, 2026 Schedule: In-person: Monday, Tuesday, Thursday from 5:30-8:45pm
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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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/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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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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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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This position is covered by the AMURE collective agreement: https://www.mcgill.ca/hr/files/hr/2023-2027_collective_agreement_amure_ras_final_-_with_signatures_-_for_printing_cover_page_reviewed.pdf Knowledge
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. Provides insight and understanding of the Quebec modern elementary mathematics program. Posting Dates: April 7 - 17, 2026 Application Deadline: April 17, 2026 CL Credits: 3 (This course is not team-taught
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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