205 machine-learning-"https:"-"https:"-"https:"-"https:" uni jobs at McGill University
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talented Machine Learning Engineer with expertise in healthcare data analysis, medical terminology, and cutting-edge machine learning techniques. The ideal candidate will play a crucial role in designing
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: Department of Mechanical Engineering Course Title and Course Number: MECH 393 - Machine Element Design Estimated Number of Positions: 2 Total Hours of Work per Term: 90 hours per TA Position Summary: Assisting
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position is based in the Department of Electrical and Computer Engineering Position Summary: Under the direction of the immediate supervisor, oversees the day-to-day operations of a laboratory, shop or
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following areas: Multilingual Communication Technologies, Multilingual AI, Machine Learning in Translation, Multilingual AI and Organizing, Computational Intelligence Applied to the Language Industry
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in maintaining McGill’s international reputation of excellence in research, teaching, and service. We are interested in candidates that apply machine learning and data-driven methods to applications in
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describe learning outcomes/skills students can expect to develop in this role. Produce an accurate and legible written (handwritten or computer) record of the student’s dictation. Proficient typing skills
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data science. As part of its mission, CDSI offers workshops on topics related to programming languages, data science, machine learning, natural language processing, cluster computing, and advanced
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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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); Reading required material and any secondary material necessary for preparation of tutorials and class discussions; Consult and communicate with course lecturer; Assist students learning; Effectively
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the Department of Electrical & Computer Engineering for the Winter 2026 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering