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Number: 151026371 Role/Department Summary: As part of the Trust's Prospect Development team, the Prospect Development Analyst (data) is responsible for conducting data-driven analysis and comprehensive
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
, data analysis, change management, or organizational development Preferred Qualifications, Competencies, and Experience * Experience working in a collaborative, team-based environment supporting complex
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. Create new summary variables. Merge, create, and recode variables to prepare data for analyses. Create datasets for analysis by other investigators. Create tables and figures in publication-quality form
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practice as well as literary and cultural analysis. More information about the department, its faculty, and programs can be found at this link . Candidates with ABD in English or Comparative Literature will
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collection on academic programs, enrollment, retention, and related metrics; prepares concise statistical reports and visual summaries for leadership. Conducts ad hoc research and data collection
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
faculty and staff - Experience leading social science research projects, including design, analysis, and evaluation - Experience building assessment data systems that feed visual analytic tools
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About the role The Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA – https://camera.ac.uk ) specialises in the research, capture and portrayal of motion, bringing
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to guide them through the data research lifecycle, from planning and data collection to analysis, interpretation, visualization and dissemination. Focus on how AI tools can augment each stage of the research
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Information: Job Requirements: Set-up, maintain and operate lab automation systems used to process samples. Operate, calibrate and maintain equipment used in analysis such as spectrophotometers, analyzers
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), such as a two-dimensional map or a three-dimensional model. Situated visualization has been shown to enhance the understanding and analysis of data. Within the context of DTs, interaction with situated