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Engineering - Teaching Assistant position 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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Engineering - Teaching Assistant position 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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Engineering - Teaching Assistant position 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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, goals and excellence of the McGill Varsity Field Hockey program. Administrative tasks regarding eligibility, recruitment, scholarship requirements, and performance logs are also an integral part of
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development experience using Python, ROS2 and software engineering techniques. Extensive knowledge of ML, DL and RL tools, theory and applications. Before applying, please note that to work at McGill University
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of Continuing Studies, Global & Strategic Communication Course Title and Course Number: Immersive English for Engineering (YCGL 344) Estimated Number of Positions: 1 Total Hours of Work per Term: 45
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The McGill University Gerald Bronfman Department of Oncology, Division of Medical Oncology, in the Faculty of Medicine and Health Sciences is inviting applications for a full-time Clinician-Scientist position
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the English language, thereby requiring English communication both verbally and in writing. Hourly Salary: $31.44 Hours per Week: 24 (Part time) Monday, Tuesday, Thursday Location: Life Sciences Bldg . Supervisor
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Rehabilitation Science (PT or OT) Must have previous laboratory experience in human anatomy on topics relevant to the course description. Previous experience as a UCA for ANAT 315/316 an asset Or previous work as
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of Computer Science and Department of Mathematics and Statistics are seeking applicants for a nomination to a Canada Excellence Research Chair (CERC) in the area of the Foundations of Efficient Artificial Intelligence