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. FastQC, STAR, samtools) Analyze high-dimensional RNA-seq, genetic, and/or single cell sequencing data including statistical modeling and visualization using existing R packages (e.g. limma, lme4, Seurat
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to apply for a tenure-track Assistant Professor or Associate Professor position in Visual Arts and Cultures. Scholars of all research specializations relevant to the field are encouraged to apply. Priority
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to gain clinical experience during their gap year or prior to applying to medical school, as well. No evening or weekend work required. Follow this link to learn more, https://www.hopkinsmedicine.org/wilmer
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, unconventional solutions powered by deep technology. Through compelling storytelling and stunning product visuals, we bring complex technologies to life, making them accessible, desirable, and easy to adopt. We
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Systems of Instituto Pedro Nunes (LIS) opens a fellowship for researcher for a period of 6 months and a monthly value of 1040.98€, to support R&D in the field of Computer Engineering, under the guidance
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Systems of Instituto Pedro Nunes (LIS) opens a fellowship for researcher for a period of 6 months and a monthly value of 1309.64€, to support R&D in the field of Computer Engineering, under the guidance
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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) Data analysis and reporting in Excel Formulas and functions (e.g., XLOOKUP, PivotTables, IF statements) Data visualization, dashboards, and reporting automation Microsoft Word for business documents and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
current with new technology, systems, and software * Demonstrated knowledge/understanding of data visualization best practices. Additional Competencies: * Analytical Thinking: Strong analytical and problem
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general analytics on data sets in the area of university research activity. Activities include: defining data requirements, data collection, processing, cleaning, analysis, reporting and visualization