794 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at McGill University
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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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Research Assistant 2 position is based in Prof. Prof. Odile Liboiron-Ladouceur's research lab in the department of Electrical and Computer Engineering. Position Summary: Under the general supervision
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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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: 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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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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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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. Discuss needs and technical demands of the projects. Research to find solutions to problems. Keep abreast of new developments in the field to update skills and knowledge. Use equipment such as computers
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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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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
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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