310 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University
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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 536 Course Title: RF Microelectronics. Course Credits: 3 credits Location: SH680 1255 Schedule: Tuesdays & Thursdays
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independently and as a member of a research team -Effective organizational skills and attentiveness to detail -Ability to exercise tact, discretion, and confidentiality -Computer proficiency (Word, Excel
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to finishing) and expertise in security or privacy aspects of computer and software systems. Topics of interest include but are not limited to: network security, secure distributed computing, language/compiler
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field. Demonstrated experience with single-cell and/or spatial transcriptomic analysis (Scanpy, Seurat, Squidpy, etc.). Strong programming proficiency in Python and R; experience with machine-learning
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position is based in the Department of Electrical and Computer Engineering. Position Summary: Under the direction of the immediate supervisor, provides administrative support for academic student affairs
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roadmaps for AI adoption, balancing innovation with compliance, ethics, and sustainability. Technical & Ethical Guidance: Provide expertise on AI-related technologies including machine learning, natural
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points (Frosh registration; staff, coordinator, and leader numbers), lessons learned, recommendations and suggested modifications to tools, approaches and timeline Other emergent duties, as required Other
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participates in their implementation and development to improve efficiency within the unit. Liaises with computer resource persons as required. Sets up and maintains databases and spreadsheets. Enters data and
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exceptional customer service to ensure visitor satisfaction. Ensure Museum’s open and close procedures are respected on weekends. Coordinate with manager on-site. Learn and memorize content relating
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are properly trained on the ultrafast laser systems. - Maintain and operate high and ultra-high vacuum systems for the purpose of electron scattering experiments. - Work with the Machine Shop personnel