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at oeo.utah.edu For more information: https://www.utah.edu/nondiscrimination/ To inquire about this posting, email: employment@utah.edu or call 801-581-2300. The University is a participating employer with Utah
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for calculating productivity-based compensation, including the analysis of visits, wRVUs, coding, collections, and procedures by provider, specialty, and clinic. This position will also assist with the department’s
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trends, risks, discrepancies, and improvement opportunities. Collaborates across departments to ensure complete, accurate, and timely data for financial reporting and analysis. Works with Planning
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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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processing, data analysis, and advanced visualization of results GIS qualifications are of major advances Skills in project management Very good pedagogic teaching skills Knowledge in e-learning is beneficial
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Health Workforce Research Center, and Behavioral Health Workforce Research Center. The Data Analyst will * Perform data cleaning and statistical analysis using SAS, Stata, R, Python, and SQL. * Perform
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relevant, in vivo. - Data Analysis and Dissemination (analysis and interpretation of experimental data, preparation of manuscripts, contribution to grant writing and progress reporting). - Collaboration with
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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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cereals production practices. PhD grantors: Aarhus University (DK) & Clermont Auvergne University (FR); keywords: IoRT network optimisation, data quality PhD-B: Data collection and analysis empowered with
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: Understanding of basic statistical methods and data analysis techniques that can be deployed in real-world use case scenarios. Data visualization proficiency: Expertise in using data visualization tools like