450 machine-learning-"https:"-"https:"-"https:"-"https:" positions at McGill University
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Information: Applicants must: 1. demonstrate an ability to design structured course materials, including learning activities, based on the course description and target audience; 2. demonstrate an ability
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presentations. Applicants must: 1. demonstrate an ability to design structured course materials, including learning activities, based on the course description and target audience; 2. demonstrate an ability
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the use of the machines, verifying that the laser cutters are operating correctly and all safety procedures are carried out properly. Troubleshooting student files and machine errors. Helping with
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nominated to become a core member of Mila – the Quebec Institute for Artificial Intelligence. McGill and Mila offer opportunities for interaction with world-class researchers in machine learning, statistics
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the student computer Lab, including the student staff, and overseeing other computer Labs that are part of the Faculty. Act as the IT asset steward for the faculty and work closely with Central IT Services
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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 429 Course Title: Software Validation Course Credits: 3 credits Location: Trottier Building 0070 Schedule: Mondays
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 11 days ago
The Department of Physiology of the Faculty of Medicine, McGill University, is seeking applications for a Course Lecturer for the 2025-2026 academic year to teach PHGY560, Light Microscopy for the Life
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: Fundamentals of Computer Animation Instructor: Paul Kry Course Number: COMP 559 Number of T.A. positions available (estimate): 3 Hours of work (per term): 90 Dates of Appointment: Starting: January 5, 2026
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communication skills. Knowledge of more than one computer operating system (Linux, Mac, Windows) is an asset. Knowledge of statistical software packages (e.g. R, Stata, SAS) is an asset. Knowledge of programming
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computer technology. Knowledge of adaptive software is an asset. Must be able to work as part of a team and individually. Must be available for the mandatory in-person 3hr-training sessions (exact dates