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Description The Department of Statistical Sciences is seeking up to 3 postdoctoral fellows. These positions focus on research combined with teaching two courses every year. Area of Research: All
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University of Northern British Columbia | Prince George North, British Columbia | Canada | about 2 months ago
Fellowship Description The Department of Mathematics and Statistics at the University of Northern British Columbia invites applications for a postdoctoral position. This position is open to
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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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Fellowship Description The Department of Mathematics and Statistics at the University of Guelph invites applications for a Postdoctoral Fellow specializing in multivariate statistical methods
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 hours ago
implementation science, health services research, survey research, epidemiologic methods, or measurement development. Experience with REDCap, NVivo, and/or quantitative or statistical analysis software. Experience
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health data statistical analysis, physiological experimental data processing, and psychological health empirical research methods. Familiar with academic paper writing and international biomedical research
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The purpose of the Mathematical Sciences Postdoctoral Research Fellowships (MSPRF) is to support future leaders in mathematics and statistics by facilitating their participation in postdoctoral
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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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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