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information science program  Demonstrated interest in supporting qualitative and/or quantitative data collection, analysis, and visualization across academic disciplines Interest in, experience and/or coursework
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sampling grids, analyze temporal trends, and produce visualizations and reports to support cannabis remediation research on tribal lands. Minimum Qualifications Knowledge of spatial statistics, GIS analysis
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ensure the consistent delivery of the desired APPA level grounds maintenance standards through the creation of inspection reporting and data-driven analysis. This position will serve as a key operational
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Questionnaires, Body Weights). · Data analysis and visualization skills (Power BI, Excel, R, Python, etc.). · Previous interdisciplinary work and communication within a comprehensive high-performance environment
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responsibility are required. Must be discreet. Expert in analysis and data driven problem solving and decision-making skills. Ability to troubleshoot situations. Experience with Excel is essential and PeopleSoft
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Location Lexington, KY Grade Level 11 Salary Range $54,080-95,056/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https
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, with emphasis on R‑based data evaluation and visualization. The position also involves responsibility for the operation, maintenance, and development of LC-MS/MS and LC-HRMS instrumentation, including
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curiosity. Who geeks out over telling compelling stories with data, has SQL skills, and loves uncovering hidden insights to create impactful reports and visualizations. And enjoys helping out a teammate while
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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis
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, training, and/or working with an electronic lab notebook system. Basic knowledge of open-source software and programming languages to extract, organize and clean data, tools to visualize and share findings