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research support, data management, platform activities and technical support. Other Qualifying Skills and/or Abilities Master’s or PhD in Bioinformatics, Computational Biology, Data Science, Computer Science
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of Science Education, Faculty of Science Position Summary: Under the direction of the Student Engagement and Learning Manager, the Peer Collaboration Assistant - Team Lead will ensure the smooth
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Engineering - Grader position for Fall 2025 semester Hiring Unit: Mining and Materials Engineering Course Title and Course Number: MIME 340 Applied Fluid Dynamics & MIME 356 Heat, Mass and Fluid Flow Estimated
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to various activities, such as notebooks, course notes and photocopies. Receives students' work. Issues receipts. Uses various equipment such as a typewriter, personal computer, calculator, photocopier and fax
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/ Experience Education: Diploma of Collegial Studies (DEC) Field of Study: Biomedical Laboratory Technology Required Skills • Must be an active member of the Ordre professionnel des technologistes médicaux du
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Engineering Grader position for the Fall 2025 semester. Hiring Unit: Mining and Materials Engineering Course Title and Course Number: MIME 250 Introduction to Extractive Metallurgy Estimated Number of Positions
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completed PhD degree or enrolled in a doctoral program in Political Science or a discipline related to the course; Provide evidence of effective teaching ability as a result of having successfully taught a
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for the respective team. Liaise with the Senior Varsity Advisor to ensure that the Women in Sport Program is offering the latest in supportive offerings. Develop and update presentations to be made within the McGill
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Engineering - Teaching Assistant positions for the Fall 2025 semester. These positions are open to McGill University Graduate Students only. Hiring Unit: Mining and Materials Engineering Course Title and Course
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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