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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
ensuring that accurate and actionable data is reported to both internal and external stakeholders. Through chart review, analysis, and collaboration with analytic and clinical teams, the Analyst will help
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: $21.77 hourly Pay Range Maximum: $26.98 hourly Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and
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Designing and implementing data analysis and visualization, and self-service data tools, including data interpretation and training as needed. Essential Function Yes Percentage of Time 10 Job Duty Leading
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, including analysis, benchmarking, data collection, and materials development. Develop high-quality project deliverables, including written reports, presentations, spreadsheets, and data visualizations. Make
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Specialist theoretical and practical knowledge of Statistical Model selection, Deep Learning techniques and Medical Image Analysis and visualization. A3 A comprehensive and up-to-date knowledge of the wider
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analyses, including strategic research projects, external reporting (i.e., IPEDS), and ad-hoc data requests. · Data Visualization and Communication- Oversee the development of interactive dashboards, reports
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. Some experience with data collection and analysis is preferable. About the supervisor Valeria is a Lecturer in Digital Humanities in the Digital Humanities Institute (DHI), with a particular research
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customer centricity Applies data visualization techniques to communicate data through graphical representations Builds a narrative around a set of data to convey actionable findings from the analysis
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, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool
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Science, or Information Science. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data