96 information-systems "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at McGill University in canada
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This position is covered by the AMURE collective agreement: http://www.aerum-amure.ca/wp-content/uploads/2023/07/AMURE-2023-2027.pdf Before applying, please note that to work at McGill University, you
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manuscript from the results of this analysis and present data to the community. Hiring Unit: MNI This position is covered by the AMURE collective agreement: http://www.aerum-amure.ca/wp-content/uploads/2023/07
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festive evening at the MEM, where teams are rewarded. McGill is hiring guides from within its student community to accompany the participating teams on September 11th, 2026. General requirements Be a
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description Knowledge of the Quebec Education program (QEP) and the curriculum of the partnering school board with whom this course is being giving in collaboration. Familiarity with the 13 professional
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Instructors Union collective agreement; https://www.mcgill.ca/hr/files/hr/mcliu_collective_agreement_-_final_version_for_printing_0.pdf . McGill University is an English-language university where most teaching
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to registration. Posting Dates: July 28 - August 10, 2026 Application Deadline: August 10, 2026 CL Credits: 3 (This course is not team taught) Number of Positions Available: 1 Term: Fall 2026 Contract Dates
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, 2026; 11:59 PM CL Credits: 3 (This course is not team-taught) Number of Positions Available: 1 Term: Fall 2026 Contract Dates: September 21 - October 23, 2026 Course Dates: September 28 - October 9, 2026
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scholars whose research is methodologically rigorous and quantitative in orientation. The successful candidate will be expected to develop and teach undergraduate and graduate courses in IPE and should also
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Deadline: August 3, 2026 CL Credits: 3 (This course is not team-taught) Number of Positions Available: 1 Term: Fall 2026 Course Dates: August 31 - September 11, 2026 Contract dates: August 17 - September 25
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), obtained less than 5 years ago. Other Qualifying Skills and Abilities: Familiarity and experience with R and Python programming is essential. Experience in the analysis of next-generation sequencing data is