788 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at McGill University
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position in the Stem Cell Bioprocessing Laboratory (main supervisor Hoesli, Department of Chemical Engineering of McGill University) and the Human Islet Transplantation Laboratory (main supervisor Steven
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. Orsat, Bioresource Engineering Rate: $33.96 Step 1 Position Summary: Supervision of a project of plasma treatment with microbiology expertise required Qualifications: Ph.D. in Bioresource Engineering
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publications. Qualifications: Strong academic background in ecology, environmental science, geography, engineering, or a related field (Master’s degree completed or equivalent). Proficiency in at least one of
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needed, consults with and trains other staff members and power-users. Keeps abreast of new developments and trends in the field of advancement technology. Participates in the evaluation of new software
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: Department of Mechanical Engineering Course Title and Course Number: MECH 241 - Fundamentals of Thermodynamics Estimated Number of Positions: 1 Total Hours of Work per Term: 75 Position Summary: Assisting
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Research Assistant 1 position is based in Prof. Narges Armanfard's research lab in the department of Electrical and Computer Engineering. This Research Assistant role supports the development of AI-based
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position is based in the Faculty of Engineering. Position Summary: Provide a full range of human resources services in support of the University's mission and culture. Develop and implement human resources
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. Qualifications: Bachelors in Software Engineering or Computer Science Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the
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an undergraduate program in computer science, engineering, neuroscience, cognitive science, or related fields. Basic familiarity with Python or similar languages; ability to read code and understand debugging
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methodologies is required. Technology skills: Office© suite, reference management software, and qualitative and quantitative analysis software (e.g. EndNote, NVivo/QDA MINER, SPSS, Covidence, or other data