831 systems-science-"https:" "https:" "https:" "https:" "Univ" positions at McGill University
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, and foster a culture of passion, teamwork, and excellence within the program. Expected workload is approximately 22 hours per week during the competitive season (Aug-Nov), and 2-4 hours per week in
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computed tomography and light microscopy. Lab background in developmental and evolutionary biology. Some knowledge of cell biology. Location: This position is located in Montreal, Quebec and the work
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Research Assistant 2 position is based in Prof. Amin Emad's research lab in the department of Electrical and Computer Engineering. The RA 2 will work in collaboration with the Research Supervisor to develop
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Course Title: Ecology/Behaviour Field Course. Course Code: BIOL 331 001 Estimated Number of Positions: 1 Total Hours of Work per Term: 180 Hiring Unit: Biology Dept. Course Title and Course Number: BIOL
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aspects of the people side of change, including changes to business processes, systems and technology, job roles and organizational structures. The primary responsibility is to develop and implement change
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: Education: Undergraduate degree in Physics or related scientific discipline is preferred. Experience: Experienced in university environment with undergraduate student affairs is preferred. Supervisory
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technology development. This position involves close collaboration with an industry partner and focuses on translational research that bridges fundamental materials science and commercial microLED device
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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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: Desautels Course Title: Advanced Topics in Management Science 3 Course Code: MGSC 697 Estimated Number of Positions: 1 Total Hours of Work per Term: 45 Position Summary: Holding office hours, grading homework
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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