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(or similar systems) and ELM Resources is strongly preferred. Expertise in data analysis and visualization with large datasets. Practical knowledge of relational database structures. Strong proficiency in
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field (e.g., natural science, engineering, environmental studies) from an accredited institution. Two (2) years of related experience (e.g., data analysis, environmental quality management, public
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information, please visit: https://hr.uconn.edu/employee-benefits-overview/ Employee retirement benefits (SERS Retirement plan). For more information, please visit: https://hr.uconn.edu/retirement
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cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization
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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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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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on borderlands related topics, assisting with qualitative and quantitative data analysis, creating data visualizations, and performing assigned clerical tasks and social media-related objectives. Under
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teaching • Experience and/or expertise with data visualization, simulation, and/or statistical methods that support our current course offerings in Data Science • Ability to teach courses using Python and R
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on dataset development and preparation for analysis; assisting with data exploration, quality control, and troubleshooting; synthesizing literature related to trauma, clinical decision rules, and diagnostic