45 Statistics "Wellcome Sanger Institute " positions at Case Western Reserve University in United-Kingdom in United States
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Case Western Reserve University Department of Mathematics, Applied Mathematics, and Statistics is seeking qualified candidates to fill two faculty positions at the rank of Instructor to begin in
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The Department of Mathematics, Applied Mathematics, and Statistics at Case Western Reserve University (CWRU) is searching for at least one tenure-track assistant professor in Statistics to begin in
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systematic literature reviews, development of instruments and surveys; develop databases and spreadsheets to manage research projects; support statistical data analyses using R software. (35%) Support project
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or different acute treatments will be analyzed for significance using appropriate statistical methods. These may include paired or unpaired T-test and analysis of variance. The choice of method testing
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and all related expenditures, and resolving problems with travel and competition venues. Forecast budget needs. Prepare statistics and reports for the clinical program’s numerous grant funders, and
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. Proficiency in statistical data analysis. Practical experience in extraction, separation, and identification of active compound from natural resources, high performance liquid chromatography (HPLC), practical
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acquisitions with various library areas. Promote service and connect users to services and resources (10%) Assessment. Responsible for records and statistics for the library unit; using appropriate technology
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products, email and internet programs required. Experience with SPSS or SASS statistical packages preferred. Ability to meet consistent attendance. Ability to interact with colleagues, supervisors, and
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analyses of the samples necessary to characterize responses. Apply appropriate statistical measure. Maintain this data in machine readable form and regularly back it up. (25%) Record results for experiments
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advanced support for business management, university leadership, and other data end users in the form of synthesized insights drawn from statistical and visual analysis of university data assets for improved