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Shrum building and the Biomedical Research Centre (BRC). For more information about the School of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . The position will require the incumbent
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dissemination materials as appropriate. Education: Applicants must be currently enrolled in an undergraduate degree program in Computer Science, Software Engineering, Computer Engineering, Data Science, or a
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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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fellow will join a team composed of data scientists, software engineers, and medical trainees. This position is anticipated to be partly funded through a Mitacs Elevate grant. Project Context SOZO
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
Work Performed Projects will be tailored to the successful applicant's scientific interests and career goals. Current areas of research include: Engineering next-generation Tregs using synthetic
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values of EDI, community building, and transformative teaching and learning. Office of E-IDEA website: https://www.mcgill.ca/engineering/initiatives/e-idea . The Research Assistant 1 will work with an
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 16 days ago
, preparing funding proposals, managing budgets and reporting for/to Natural Sciences and Engineering Research Council of Canada (NSERC) and a variety of other granting agencies that fund research in
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supervising of trainees Providing other support as required by the research team The PDF will be supervised by Dr. Matthew Mitchell, who leads the Mitchell Multifunctional Landscape Lab (https
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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systems Working knowledge of ecological (especially landscape ecology) research methodology and advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses