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molecular, cellular, or quantitative biology. Experience with microscopy, image analysis, computational analysis, or data visualization preferred. Exposure to programming or analysis tools such as R, Python
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. Experience with data visualization software such as Tableau, D3.js, ggplot2 or Gephi. Experience with statistical packages such as STATA, SPSS or SAS, or experience with geospatial analysis software. Master’s
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to program and use command line tools, machine learning approaches and data visualization tools. Expertise in software engineering as well as a firm foundation in biological research are strongly preferred
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treatments, and contributing to the analysis of CRISPR screening data. Duties include*: Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate
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Oracle Cloud, Oracle ERP/ EPM / PBCS/ Smartviewand Enterprise Data Warehouse (EDW), Power BI, and Strata to streamline financial processes and ensure data accuracy in the delivery of reporting and analysis
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computational tools and methods for analysis of high throughput single-cell genomics data. We work in extensive collaborative partnerships with bench scientists to tackle questions related to cellular
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scientific vision to enhance discovery with observatories both in space and on the ground. IRSA (http://irsa.ipac.caltech.edu ) is the steward of scientific data sets delivered by NASA's Astrophysics missions
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financial analysis of reports and data and prepares reports for management to improve financial performance and compliance. Provides data-based recommendations on critical financial business decisions
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measurements. ? Use analysis software (e.g., Python, MATLAB, Spatial Analyzer, Polyworks, Excel, etc.) to interpret results and produce visualizations. ? Assist in the development of demonstrations for trade
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
financial modeling, data visualization, and business intelligence solutions to support budgeting, reporting, and planning. Collaborate with the IT team to implement systems that improve data analysis