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Performance Research & Analytics Coordinator in storage, hygiene, analysis, visualization, and overall stewardship of performance-related data. Essential Functions: Report directly to the Director of Sport
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
streamline processes and decision making with a focus on EHR reporting, data analysis and visualization for UCSF Health, Benioff Children’s Hospitals and our affiliates. As part of the data analysis and
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evidence of specialized training, education or publication in the area the candidate will teach, which may include the following relevant areas: PowerBI, data mining and analysis; interface design; visual
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) / Immunofluorescence (IF). • Data analysis: Proficiency with flow cytometry analysis software (FlowJo, SpectroFlo, NovoExpress), image analysis tools (Phenochart, Halo), and statistical/visualization software (GraphPad
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of visual texts and will focus on the semiotic analysis of the design dimension,whether artistic,design-related,or architectural,with particular reference to the role of corporeality and spatiality and the
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visualization for financial analysis as well as Microsoft Office Suite (Word, PowerPoint), SharePoint, Teams, and other documentation and collaboration tools Demonstrated experience in working with diverse groups
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environment for data manipulation and analysis with consideration for team-based code development. Experience developing and maintaining interactive visualizations using R-Shiny. 3-4 years of relevant
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draft statistical analysis plans specific to research objectives. Generate analytic data sets, codebooks, and other documentation. Analyze individual-level data to answer scientific questions of interest
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and qualitative data. Develop visualizations (e.g., tables, dashboards), interpret research findings, and write analytical summaries. Develop, review, and administer online surveys using Qualtrics
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and