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Field
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studies, performance studies, visual arts, documentary studies, photography, and creative writing. Fellows may focus on any geographic area. We particularly encourage applications from scholars whose work
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relate to public health and public safety. The &-Lab is expanding as we embark on a new grant-funded research initiative, where we aim to document, analyze, and visualize inequalities across court systems
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knowledge in using HPC systems for visualization and analysis Technical knowledge of large, dynamical systems (preferably the atmosphere) Knowledge and experience in writing scientific code Skills in clear
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environments is necessary. Experience with data cleansing, wrangling, visualization, modelling, and interpretation is necessary. Previous experience in data science is highly desired. Previous experience in
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reconstruction and post processing techniques to improve visualization. Participate/assist in manuscript writing for publication in scientific journals and/or presentations. Coordinate with collaborators/vendors
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reconstruction and post processing techniques to improve visualization. Participate/assist in manuscript writing for publication in scientific journals and/or presentations. Coordinate with collaborators/vendors
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research methods and data visualization. Excellent written and verbal communication skills and the ability to work collaboratively. Desired Qualifications Additional knowledge of Stata, Python, causal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
advanced magnetic resonance imaging techniques at 3T and 7T for imaging the visual system, including the retina, optic nerve, or brain. MRI techniques to assess blood flow, function, diffusion, and CSF flow
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discussions with energy scholars, labor unions, and policymakers. Analyze and visualize data using qualitative and quantitative tools (e.g., R, Python, MAXQDA). Co-author peer-reviewed articles and contribute
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the Rosaceae, Citrus, Vaccinium and Pulse crop databases to meet community demand for resources with usable big data aggregated, analyzed, integrated, and visualized, as well as data management and analysis