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Field
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preprocessing, postprocessing, automated testing, calibration, and visualization workflows; and conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and
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, greenhouse, and field conditions. Strong quantitative and analytical skills and familiarity with appropriate statistical analysis and scientific data visualization. Ability to maintain detailed, accurate
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, greenhouse, and field conditions. Strong quantitative and analytical skills and familiarity with appropriate statistical analysis and scientific data visualization. Ability to maintain detailed, accurate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
geospatial data visualization. The work will be performed in several cloud and/or on-premises environments and requires human subjects research training. The goals of the work will be to develop new
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Mathjobs.org | about 1 month ago
scientific applications * Researching digital and post-digital computer architectures for science * Developing and advancing extreme-scale scientific data management, analysis, and visualization * Developing
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scientific applications * Researching digital and post-digital computer architectures for science * Developing and advancing extreme-scale scientific data management, analysis, and visualization * Developing
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will lead sub-studies that map the functional nodes of the cerebellum with TIS and fMRI, from protocol development and individualised stimulation modelling to data collection, analysis and publication
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Time 35 Job Duty Research Data Analysis and Scientific Computing. Analyze complex biological, environmental, genomic, computational, or physical datasets using advanced statistical and computational
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Time 35 Job Duty Research Data Analysis and Scientific Computing. Analyze complex biological, environmental, genomic, computational, or physical datasets using advanced statistical and computational
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software for modeling, assimilation, analysis, visualization, and reproducible computational workflows. Collaborate across disciplines and contribute to documentation, sponsor reports, presentations