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                : Manages complex large datasets using a variety of statistical software and language Links, analyzes, and tabulates data for various studies by using data analysis software (e.g. R, SAS, SQL, Python, Stata 
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                experience supporting data-driven decision making by conducting detailed data analysis and using large datasets, preferably in a post-secondary education or research-intensive institution. Advanced Power BI 
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                lists, response rate progress reports, survey results) between post-secondary institutions and UBC’s PAIR Office. · Cleaning, processing, transforming large-scale data via statistical programming 
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                care and client services; and excellent health benefits! Primary Purpose: The primary purpose of this position is to contribute to the efficient operation of the Large Animal Hospital by providing 
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                care and client services; and excellent health benefits! Primary Purpose: The primary purpose of this position is to contribute to the efficient operation of the Large Animal Hospital by providing 
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                findings of bibliometric, quantitative, and qualitative data Assist in the preparation of grant reports Qualifications: Must be a registered McGill student Experience with large, structured literature 
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                Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 11 hours agoPosition Details Position Information Position Title Research Assistant Department/Unit Psychology and Neuroscience Research Project Language and Literacy Lab Location Halifax, Nova Scotia, Canada 
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                following the specifications of the project’s analysis plans Extract and merge large data sets from different sources (administrative data, survey data, clinical data, etc.) according to data creation plans 
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                to write and communicate clearly Preferred Qualifications Experience with high performance computer clusters Experience with the analysis of large datasets Good understanding of immunology Any kind 
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                rates expected by simulations have provided conflicting results. Large samples of detections are necessary, and a wealth of publicly available data exists in ALMA’s archive waiting to be examined