325 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at McGill University
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. Job Duties The successful candidate will be involved in the academic activities of the McGill University Department of Neurology and Neurosurgery, Division of Neurosurgery, Brain-Computer Interface. The
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of an Indigenous language, which includes using a computer. Focus is on nouns, verbs, prefixes, and suffixes, along with specific Indigenous lexicon. Posting Dates: March 04 - 10, 2026 Application Deadline: March 10
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, leave replacement position in the Faculty of Engineering Workshop (https://www.mcgill.ca/engineering/faculty-staff/services-resources/faculty-workshop-services ). Position Summary: Under the direction
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and revise existing IMAGE machine‑learning components to optimize efficiency, scalability, and quality of results. Implement conversions of existing non‑LLM components to LLM‑based approaches where
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information regarding TQRs, please visit: https://www.mcgill.ca/nursing/about/employment-opportunities HOW TO APPLY: Internal Applicants: Internal applicants are McGill employees who currently hold an ACTIVE
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TO APPLY IS MARCH 6, 2026, inclusively. For details job descriptions and information regarding TQRs, please visit: https://www.mcgill.ca/nursing/about/employment-opportunities HOW TO APPLY: Internal
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the Department of Integrated Studies in Education (https://www.mcgill.ca/dise/ ), the Department of Kinesiology and Physical Education (https://www.mcgill.ca/edu-kpe/ ), and the Department of Educational and
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); characteristics, teaching practices; teachers' roles in inclusive classrooms. Overview of characteristics, causes, needs, and teaching strategies for diverse and exceptional students, teaching and learning
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Prepare and submit scientific manuscripts, posters and presentations for the ZIKV-IPD-MA-2S study accordingly Attend relevant workshops and conferences as necessary Learn new skills and contribute to other
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: Department of Mechanical Engineering Course Title and Course Number: MECH 393 - Machine Element Design Estimated Number of Positions: 2 Total Hours of Work per Term: 90 hours per TA Position Summary: Assisting