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and decision-making by conducting independent research and advanced data analysis. Reporting to the Assistant Vice Provost and Director of Data Analysis and Reporting, this role develops and executes
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Access and academic publishing landscapes. Data analysis skills (eg data visualization). Highly organised - e.g. able to schedule multiple priorities, stick to deadlines and manage time sufficiently
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
, multi-stakeholder projects. * Proficiency with data and visualization tools such as Excel, Power BI, or Tableau. * Knowledge of project and change management tools and methodologies. * Strong analytical
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and visualization of high throughput genomic data used in the analysis of bacterial genomes (30%) Responsible for general troubleshooting alongside other researchers to solve new data analysis problems
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to the computational analysis of visual culture in the humanities. The postdoctoral researcher will work closely with the project PIs, Lauren Tilton and Taylor Arnold, to develop and implement educational resources
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Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis, forecasting, optimization, data visualization
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position within a Research Infrastructure? No Offer Description Activities: This research investigates the use of artificial intelligence in developing data visualization systems for born-digital collections
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quality of life. At the same time, the project includes the design and implementation of interactive dashboards for the dynamic visualization of results, facilitating data interpretation by teachers and
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a planned randomized experiment. The fellow will be involved in data cleaning, data analysis, design of the experiment, academic and policy writing. The candidate will work under the supervision
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processes related to data analysis. This employee must possess knowledge and understanding of the complexities of assessment, evaluation, and data as well as a high degree of knowledge of statistical