463 machine-learning-"https:"-"https:"-"https:"-"https:" positions at McGill University
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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 316 Course Title: Signals and Networks Course Credits: 3 credits Location: ENGTR 0070 Schedule: Tuesday and Thursday
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area: Reinforcement learning; probabilistic approaches in machine learning; mathematical foundations of machine learning. Previous experience as an instructor at the university-level is required. Related
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: Desautels Faculty of Management Position Summary: Providing support to Students and Professors as well as maintenance of Faculty computer labs. Other Qualifying Skills and/or Abilities • Providing support in
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the Department of Mechanical Engineering, is seeking a motivated and skilled Research Assistant to support cutting-edge research in predictive simulation of human-machine interaction, specifically focused
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: The Research Associate reports directly to the Research Supervisor (Prof. Anne Kietzig) to align the laser beams, enabling the execution of laser fabrication commands and develop new machining controls
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Position in Software Engineering Department of Electrical and Computer Engineering, McGill University The Department of Electrical and Computer Engineering at McGill University invites applications for a
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in colocalization analysis and CT-scanning is an asset. Experience in machine learning is an asset. Start date January 2026. Contract of 2 years, renewable upon the availability of funding and other
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: COMP 550- Course Title: Natural Language Processing Course Number: COMP 551- Course Title: Applied Machine Learning Course Number: COMP 555 - Course Title: Information Privacy Course Number: COMP 558
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data from log sheets into computer using DSA Laitier and DelPro software. Collects data for research trials and ensures accuracy of records. Liaises with Animal Science Coordinator (Dairy) to ensure
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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 206 Course Title: Introduction to Signals and Systems Course Credits: 3 credits Location: RPHYS 112 Schedule