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. This role focuses on delivering high-quality, data-driven analysis and insights that inform strategic decisions across the University. You will manage big data, develop evidence-based reporting, and support
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Research Infrastructure? No Offer Description Mission: Implement a near-real-time data processing and visualization system. Functions to be developed: Develop software. Execute the front-end implementation
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including word processing, data management and analysis, and visual presentation software •Strong analytical and critical thinking skills •Familiarity with environmental science •Experience advising graduate
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, normalizing data, and helping present data to key stakeholders. Working within Epic and Tableau, your role will develop new dashboards and visualizations, create data definitions, and support a centralized data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
writing reports, performing data analysis, creating graphics for data visualization, and coordinating with the project team to meet reporting deadlines. Minimum Education and Experience Requirements
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. As a Research Assistant, you will be involved in conducting literature reviews, cleaning and analyzing data, creating data visualizations and other statistical output, and supporting the dissemination
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, create dynamic PivotTables and charts for trend analysis, apply conditional formatting for visual data interpretation, build automated tools using advanced formulas (such as IF, AND, VLOOKUP, COUNTIFS, and
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(surveys, data analysis) to measure success and identify areas for improvement. Work with the marketing and communication team to assist with promotional materials, social media content, and invitations
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, support research projects with geospatial analysis and visualization, manage geodatabase and the GIS servers. This position will also participate in the Big Ten Academic Alliance geospatial information
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management Collaborating with lab members and external consortium partners on multi-omic data integration Assisting in the development of custom tools and visualization approaches for biological discovery