44 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" research jobs at McGill University
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(https://tsi.mcgill.ca/index.php?page=faculty ). Research topics include (but are not limited to) astrophysics, cosmology, astrobiology, geophysics, life in extreme environments, and the search
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communication both verbally and in writing. The level of English required for this position has been assessed at a level 2 on a scale of 0-4. This position is covered by the AMURE collective agreement: https
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agreement: https://www.mcgill.ca/hr/files/hr/2023-2027_collective_agreement_amure_ras_final_-_with_signatures_-_for_printing_cover_page_reviewed.pdf Before applying, please note that to work at McGill
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This position is covered by the AMURE collective agreement: http://www.aerum-amure.ca/wp-content/uploads/2023/07/AMURE-2023-2027.pdf Before applying, please note that to work at McGill University, you
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English, spoken and written Digital competence This position is covered by the AMURE collective agreement: http://www.aerum-amure.ca/wp-content/uploads/2023/07/AMURE-2023-2027.pdf Before applying, please
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). Montreal is also ranked as the world's best student city (https://www.topuniversities.com/student-info/university-news/montreal-named-worlds-best-student-city ). Qualifications: MSc in a health-related
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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: The Department of Mining and Materials Engineering at McGill University is seeking a highly motivated and skilled part-time Research Assistant 2 to assist the Research Supervisor in conducting research projects
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monitoring. Analyze and interpret instrumentation performance in the field by troubleshooting power systems, communication networks, sensor drift, and data gaps. Conduct structured data retrieval from Campbell
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procedures and conditions. Support data organization and documentation to ensure datasets are structured according to project requirements Maintain clear and organized documentation of datasets, workflows, and