321 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University in Canada
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course lecturer position to teach in Winter 2026. Please include your cover letter and Curriculum Vitae and if applicable a copy of your Study/Work Permit. A brief course outline is optional. MECH 289
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course lecturer position to teach in Winter 2026. Please include your cover letter and Curriculum Vitae and if applicable a copy of your Study/Work Permit. A brief course outline is optional. MECH 289
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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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term before application, for training during class tutorials. Basic knowledge of metrology instruments, how to use and read caliper, what are coordinate measuring machines and measurement probes. Basic
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client service for our executive participants. The virtual training programs are an important component of the MEI learning platform and contribute to the overall MEI revenue. We are looking to extend
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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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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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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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roadmaps for AI adoption, balancing innovation with compliance, ethics, and sustainability. Technical & Ethical Guidance: Provide expertise on AI-related technologies including machine learning, natural