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to identify molecular processes associated with variation in brain morphology, connectivity and function. The fellow will work at the interface of neuroscience, statistical genomics and computational analysis
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 3 months ago
prestigious postdoctoral fellowships in 2018 in the areas of Medicine, Computer Science (in collaboration with Engineering) and Arts and Social Sciences. These fellowships have been created to accelerate
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 3 months ago
prestigious postdoctoral fellowships in 2018 in the areas of Medicine, Computer Science (in collaboration with Engineering) and Arts and Social Sciences. These fellowships have been created to accelerate
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approaches (e.g., using R, NetLogo, or similar) Working knowledge of ecological (especially landscape ecology) research methodology and biostatistics Computer proficiency, including use of statistical software
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 3 months ago
prestigious postdoctoral fellowships in 2018 in the areas of Medicine, Computer Science (in collaboration with Engineering) and Arts and Social Sciences. These fellowships have been created to accelerate
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Academic Job Category Faculty Non Bargaining Job Profile Postdoctoral Research Fellow Job Title Postdoctoral Fellowship - Technology, Law & Society Department Research and International | Peter A
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Fellowship - Technology, Law & Society Department Research and International | Peter A. Allard School of Law (Asha Kaushal
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The L’Oréal USA For Women in Science fellowship program awards five women postdoctoral scientists annually with grants of $60,000 each for their contributions in Science, Technology, Engineering and
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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