1,125 parallel-computing-numerical-methods-"Simons-Foundation" positions at McGill University in Canada
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: Experimental Medicine Course Title and Course Number: Quantitative Research Methods EXMD 634 - 1 Estimated Number of Positions: 1 Total Hours of Work per Term: 85 hours (approximately) Position Summary: Aid
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to assist a course Supervisor. Preferably knowledge of Immunology & Microbiology and key research methods and ideally having taken the MIMM 314, MIMM414 course. Language Requirements: Effective
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experience Proficiency in flow cytometry and core immunology methods Experience processing clinical specimens (CSF, PBMCs, serum/plasma) Strong organizational, problem-solving, and time-management skills
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the Department of Electrical & Computer Engineering for the Fall 2025 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering Application
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the Department of Electrical & Computer Engineering for the Fall 2025 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering Application
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the Department of Electrical & Computer Engineering for the Fall 2025 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering Application
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the Department of Electrical & Computer Engineering for the Fall 2025 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering Application
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relevant results sections based on Statistical Analyses for research publications and presentations, • Conduct statistical analysis using appropriate software and methods, • Collaborate with project managers
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with training of students and other researchers in these techniques and in the use of the microscope. Participates in the development and implementation of unit procedures and work methods. Perform basic
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: Department of Electrical & Computer Engineering Term: Fall 2025 Course subject code: ECSE 316 Course Title: Signals and Networks Course Credits: 3 credits Location: ENGMD 276 Schedule: Wednesday and Friday: 1