940 electrical-machine-design-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada
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the Department of Electrical & Computer Engineering for the Fall 2026 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering Application
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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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: Electrical and Computer Engineering Course Title: Computer Organization Course Code: ECSE 324 Estimated Number of Positions: 1 Total Hours of Work per Term: 102 Hiring unit: Department of Electrical and
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of Physics in the areas of instrumentation and automation, electronics, electricity, electrodynamics, and optics. The incumbent designs, builds, installs, maintains, and troubleshoots scientific
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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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: Department of Electrical & Computer Engineering Term: Fall 2026 Course subject code: ECSE 343 Course Title: Numerical Methods of Engineering Course Credits: 3 credits Location: ENGTR 2110 Schedule: Tuesday
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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
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: Department of Electrical and Computer Engineering Course Title: Intro to Ethics of Intelligent Systems Course Code: ECSE 557 001 Estimated Number of Positions: 1 Total Hours of Work per Term: 71 Teaching
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: Electrical and Computer Engineering Course Title: Operating Systems - x-listed with COMP 310 Course Code: ECSE 427 Estimated Number of Positions: 1 Total Hours of Work per Term: 94 Hiring unit: Department of
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, design and implementation of an immersive training tool that leverage spatial computing, computer vision, and on-device AI to support automated feedback, skill evaluation, and scalable surgical and trauma