164 data-"https:" "https:" "https:" "https:" "U.S" "UCL" "UCL" uni jobs at Zintellect
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will utilize in-situ data from Voyager, Galileo, and Juno, in preparation for the upcoming Europa Clipper and JUICE missions. Not only will this work have a significant impact on the ability to model
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other galaxies, and studies of circumgalactic dust using ultraviolet and infrared data. The use of X-rays to characterize hot outflows and the hot circumgalactic medium is especially important, and this
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of the research is to improve path delay models for analysis of Space Geodesy data including data from Very Long Baseline Interferometry (VLBI), Global Navigation Satellite Systems (GNSS), and Doppler
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analyzing JWST data, proposing new JWST observations, analyzing complementary datasets, or making simulations to compare to JWST results), or should propose instrumentation work that is highly relevant
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. Description: Our research focuses on understanding basic processes which occur in solar and stellar flares through analyzing data, development of theory, and computational studies. Specifically, we are seeking
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at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and
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found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor J-1 visa
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addition to their essential role in scientific research, numerical simulations are now integral to mission forecasting and survey formulation, and to the eventual analysis of observational data. We have several opportunities
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complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS) global 4D hybrid Ensemble-Variational (EnVar) data assimilation