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Posting Details Position Information Posting Number SF02203 Job Title Research Associate III – Coastal Hazards Modeling & GIS Position Number PS#00008195 FTE 1.00 FLSA Exempt Position Type
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pipelines for the management, analysis, and visualization of geospatial data and ancillary cartography using R, Python, and Google Earth Engine. 3. Desarrollo de workflows reproducibles para la validación de
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of the institute's technical facilities Application and implementation of independent research projects Visualization and presentation of analysis results for scientific publications and presentations. Mentoring
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professional who demonstrates solid analytical skills and dependable support in academic budgeting. They bring proficiency in financial analysis, reporting, and data visualization, applying tools such as Excel
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, data models, visualizations, measures, and reporting solutions. Experience using Python or comparable programming languages to automate reporting, analytics, workflow processes, data preparation
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analyses, data visualization, and methodological input. Participate in study meetings and scientific discussions regarding study design, analytical strategies, and interpretation of results. Coordinate with
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gathering, organizing, and synthesizing qualitative and quantitative information. Ability to communicate findings clearly through written reports, presentations, and visualizations. Attention to detail and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 26 days ago
Initiative and the American Growth Project, a place-based economic forecasting initiative. Specific job duties include: * Data analysis and modeling: Perform statistical analysis and econometric modeling
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Job Type/Hours per Week Full-time/40 Hours per Week Salary Commensurate with education and experience. Hiring Department Information Analysis Location UT Tyler; Tyler, Texas Sponsorship – Foreign
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consideration for team-based code development; experience developing and maintaining interactive visualizations using R-Shiny; experience with statistical analysis, experience with data manipulation in SAS and/or