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Field
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independent observations and diagnose performance issues. Develop and maintain scientific software for modeling, assimilation, analysis, visualization, and reproducible computational workflows. Collaborate
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. Responsibilities include drafting and editing sections related to study design, methods, results, and statistical interpretation. Assist in the development of high-quality tables, figures, and visualizations
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, web based simulations that explore alternative representational and interpretive frameworks in quantum mechanics. Research areas include conceptual analysis, visualization, and comparative study of
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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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experimental fluid mechanics, particularly in optical flow-visualization techniques. The successful candidate will conduct advanced laboratory experiments to study the dynamics of gas coherent structures and the
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and/or case-crossover analyses, and have a promising publication record. Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 13 hours ago
programming (Python, MATLAB, IDL) with experience in data analysis, visualization, optical raytracing, and simulation software. Ability to develop custom analysis tools. Knowledge of numerical methods
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
as appropriate. Develop reproducible computational workflows for processing, analyzing, and visualizing multidimensional ocean and environmental data. Manuscript Preparation and Grant Reporting – 10
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and data visualization using GraphPad Prism. Experience with scientific writing, peer reviewed publications and conference presentations. Brief Description of Duties: The Postdoctoral Associate will
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. • Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization, and a high level of independence with a publication record to support these