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, Chat, and particularly Google Sheets for data analysis and reporting. Ability to work independently and as part of a team, displaying a high level of professionalism and integrity. Demonstrated ability
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
through data collection or acquisition, analysis and dissemination, and project administration. https://www.cpc.unc.edu/about/ Position Summary The Add Health Contracts Coordinator supports
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
through data collection or acquisition, analysis and dissemination, and project administration. https://www.cpc.unc.edu/about/ Position Summary The Add Health Contracts Coordinator supports
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information about the College of Liberal Arts, please visit: https://liberalarts.utexas.edu/ Our college seeks to build a supportive, growth-minded community and cultivate outstanding and courageous leaders
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research data Maintain secure project databases Perform computer coding, data analysis, and programming tasks using MATLAB, Python, R, Unix, shell scripting (bash, tsch), and HTML Manuscript Preparation with
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combines business analysis, process improvement, data analytics, project management, and change management to ensure finance-related operations are effective, compliant, customer-focused, and aligned with
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information about working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Refine and enhance the analysis of GALEX FUV images by performing point source
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Analysi s Experience analysing high-dimensional biological datasets. Proficiency in R for statistical analysis, visualization, and reproducible data analysis. Experience with packages such as Seurat
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Minimum: $32.00 hourly Pay Range Maximum: $35.00 hourly Other Compensation: - Benefits: For information about benefits for this position, visit https://hr.uw.edu/benefits/wp-content/uploads/sites/3/2018/02
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the Taschner-Mandl Group, focusing on the analysis of single-cell and multi-omics data from patient samples. The project aims to uncover the tumor microenvironment and (epi)genetic drivers of neuroblastoma