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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 days ago
Experience in programming in a science context (e.g. LabView, Matlab, Python, Arduino), and data analysis and visualization (e.g. Origin, IgorPro) Point of Contact Mikeala Eligibility Requirements Degree
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. Experience with policy evaluation and analysis using economic models. Experience with visualization and interactive application development in R and Python. Author or co-author of peer-reviewed literature
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problems that arise with analyses or other aspects of research projects; Contributing to reports, presentations and publications by preparing numerical and graphical summaries (visualizations) using relevant
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4 Jul 2026 Job Information Organisation/Company Ghent University Research Field Arts » Visual arts Cultural studies » Other History » Art history Literature » Other Sociology » Other Researcher
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– might include creative application of the Relaxed Performance principles, development of audio description and guidelines for broader visual accessibility, or other artistic and/or arts educational
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
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have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack
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of cryo-electron microscopy (cryo-EM), biochemistry, and computational biology, the lab visualizes how RNA molecules fold, assemble with proteins, and perform complex cellular functions. By mapping
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morphodynamic models AND/OR proficiency and experience in coastal/nearshore field data collection and analysis. Strong written, oral, and visual communication skills. Good understanding of coastal sediment
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
permeability of fluid flow through hydrate-bearing sediments, • High resolution visualizations of hydrate distributions and fluid migration in porous media under in situ conditions, and • Machine learning