286 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada in Canada
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contribute to grant applications. Qualifications: PhD required. PhD in 3D-printed sustainable architected materials with expertise in computational mechanics, machine learning, additive manufacturing, and
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. Successful candidates should have the ability to teach courses in data analytics such as data mining, machining/deep learning, predictive analytics, analytics programming and data visualization; and will
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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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: Department of Electrical & Computer Engineering Term: Fall 2026 Course subject code: ECSE 324 Course Title: Computer organization Course Credits: 4 credits Location: BRONF 151 Schedule: Wednesday: 06:05 pm-08
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presentations, brochures). Administer computer software licenses and administer distribution of hardware. Maintain space inventory and coordinate with facilities services on matters such as renovations, security
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to additionally 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
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Responsibilities: Provide the best possible research and learning environment for students, staff and visitors through quality services, reliable and cost-effective maintenance, renovations, construction projects
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: Department of Electrical and Computer Engineering Course Title: Electric Circuits 2 Course Code: ECSE 210 Estimated Number of Positions: 1 Total Hours of Work per Term: 102 Hiring unit: Department of
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are coordinate measuring machines and measurement probes. Basic understanding of geometric and dimensional tolerances. Past TA duties must include marking or demonstrating or tutoring. Proficiency in English
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: Department of Electrical & Computer Engineering Term: Fall 2026 Course subject code: ECSE 316 Course Title: Signals and Networks Course Credits: 3 credits Location: ARTS W-120 Schedule: Monday and Wednesday