32 computational-physics-"https:" "https:" "https:" "https:" "https:" "https:" Fellowship positions in Canada
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, neonatology, genomics, immunology, and computational biology. Upon appointment, the Fellow will have access to well-characterized clinical cohorts and existing multi-omics datasets for analysis and publication
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accommodations or accessibility during the recruitment and hiring process or for more information and support, please visit UBC’s Centre for Workplace Accessibility website at https://hr.ubc.ca/health-and
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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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or accessibility during the job application, recruitment and hiring process or for more information and support, please visit UBC’s Center For Workplace Accessibility website at https://hr.ubc.ca/health-and
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regarding accommodations or accessibility during the recruitment and hiring process or for more information and support, please visit UBC’s Centre for Workplace Accessibility website at https://hr.ubc.ca
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 6 hours ago
& Key Responsibilities Position The Postdoctoral Fellow will join Dr. OmiSoore H. Dryden’s research program in Black Health Studies, Black Studies, and Black queer and trans studies at Dalhousie
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Fellowship Description PURPOSE OF THIS POSITION I am hiring a postdoctoral researcher to work on a new project, “Computing on Quantum Codes with Low Overhead” funded by the National Research Council
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-benefits, and adoption potential of perennial plantings (e.g., hedgerows, windbreaks, riparian restoration) in Canadian agricultural landscapes. The Fellow will work with a diverse range of policy, program
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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