78 web-programmer-developer-"https:"-"https:"-"https:" research jobs at McGill University
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developing and maintaining research software systems or web-based tools to support laboratory operations · Familiarity with Linux-based research computing environments and GPU-accelerated workflows Before
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assistant will make sure that the perspective of young people from the neighborhood remains central through the research project. supervision. Concretely, they will co-develop the youth survey with me, assist
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. Assist with the purchasing, procurement, installation and maintenance of specialized equipment and materials. Prepare batch records. Review and update inventories including cell, protein or PCR primer
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development of funding applications as needed. Support relationships and activities with collaborating stakeholders from Quebec and across Canada who wish to contribute to accelerating the mass deployment
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. In addition, we will explore the possibility of using LIDAR sensing to strengthen the semantic SLAM pipeline. The developed algorithms will be integrated with the perception pipeline developed by our
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of Physical and Occupational Therapy Position Summary: Apply realist evaluation methodology to develop, refine, and test Context–Mechanism–Outcome (CMO) configurations related to IRC strategies and
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reviews Help with grants Help with conference presentations Participate in drafting of reports or evidence briefs Help with developing patient educational materials Other tasks relevant to this position
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objective of developing a new generation of university researchers working on access to justice for OLMCs in Canada a plan for the knowledge mobilization (1 page) Qualifications: PhD (awarded less than five
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. This part-time research position supports the development and expansion of virtual simulation environments for research and educational purposes in mining and mineral processing. RESPONSIBILITIES: Conducts
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: The research assistant will be responsible for developing detailed data analysis plans, data preparation (linkage between data sources, clean up, operationalization of intermediary and outcome measures, and