958 process-engineering-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada in Canada
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supervision. Qualifications: Masters in Civil Engineering Ability to use scientific instruments and machines Ability to apply critical thinking to laboratory procedures. Ability to observe, collect, and record
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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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, quantum information theory, quantum programming languages, quantum compilation, and classical-quantum computer architectures. Position Description: The School of Computer Science at McGill University
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an acquisition and integrate AI and other technology tools in this process. Students will learn the central role tax considerations play in structuring an M&A transaction. Finally, students will simulate
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: Department of Electrical & Computer Engineering Term: Fall 2026 Course subject code: ECSE 500 Course Title: Mathematical Foundations of Systems Course Credits: 3 credits Location: ENGTR 2110 Schedule: Tuesday
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: Under the direction of the General-Manager, oversees the day-to-day running of the feed-room area in the Dairy complex. Oversees the operation and maintenance of all equipment including motorized carts
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graduation date, and include the confirmation of eligibility, when applying. Hiring Unit: McGill Library (Schulich of Physical Sciences, Life Sciences, and Engineering) Hours of work: up to 15 hours per week
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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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computer science, artificial intelligence, biomedical engineering, electrical engineering, software engineering, or a related field Strong background in AI and software development, particularly in computer vision
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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