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University of Northern British Columbia | Prince George North, British Columbia | Canada | about 15 hours ago
The Department of Mathematics and Statistics at the University of Northern British Columbia invites applications for two postdoctoral positions. These positions are open for researchers with
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reports from a large clinical dataset Using statistical analysis packages (e.g., SAS, R, SQL) to analyze large healthcare administrative datasets Participating in quantitative study design and
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and programs aimed at preventing work-related injuries and illnesses, as well as enhancing disability management and return-to-work outcomes. Conducts analyses using appropriate statistical methods
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 12 hours ago
inferential statistics, and the creation of results tables and summaries. Conduct qualitative data analysis, including dataset preparation, coding, and development of thematic frameworks. Design and refine
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University of Alberta, Mathematical and Statistical Sciences Position ID: UAlberta -PDF [#26484] Position Title: Position Type: Postdoctoral Position Location: Edmonton, Alberta T6G 2G1, Canada
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essential. Skills: Strong quantitative skills, including data management, statistical analysis, geospatial analysis, and ecological data analysis Demonstrated expertise in remote sensing (preferably UAV-based
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youth populations. The analysis will require advanced complex sample statistical data analyses of two large population-based health surveys: the BC British Columbia Adolescent Health Survey and the Health
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available involves conducting data analyses for a project that focuses on understanding health disparities among migrant youth populations. The analysis will require advanced complex sample statistical data
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candidate(s) will have training in a relevant discipline (i.e., Epidemiology, Statistics, Biostatistics, Public Health or a related field as long as the candidate has a strong foundation in statistics
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biology in the domain of cancer biology Proficiency in statistical/computational analysis of chemical and functional screen data to be self-sufficient in interpretation Experience with tumor model systems