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with R, Python, and/or Matlab is plus. Familiarity with diverse and high-performance computing environments is also a plus. Strong background in quantitative skills, including statistical software
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spectral flow Cell culture techniques, including primary cell culture and generating new cell lines Processing a variety of mouse tissues and blood samples Data analysis and other statistical techniques
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utilizing biomechanical, statistical, or machine learning models as appropriate; assists in preparation of research compliance documents, IRB submissions, proposals, reports, presentations, and publications
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assessment methodologies (e.g., EMA, wearable devices), advanced statistical approaches (e.g., MLM), grant writing, and clearly articulated research and training goals are highly preferred. Additional
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importing data for use in report software, spreadsheets, graphs, and flowcharts. Ability to apply statistical and other research methods into systems issues and projects as required. Some knowledge of project
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validity of data obtained from experimental procedures by performing data analysis and other statistical techniques on sample data. * Summarizes data for inclusion in grant proposals and manuscripts