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the galaxy from their sources to the Earth. A developed Monte Carlo computer code is used to study the acceleration process by plasma shocks, while mathematical models have been designed to describe how
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) Structure formation of the Universe and evolution of clusters of galaxies; (2) Circulation history of baryonic matter in the Universe; (3) Transport and circulation of energy in the Universe; (4) New science
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can enable low-cost and long-lasting planetary exploration missions to hot planets. Our research objective is to develop a sensor technology platform that is temperature and radiation tolerant using
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contribute to the development of new knowledge and technologies that could help astronauts safely travel to the moon and beyond by participating in and leading spaceflight-relevant research. In this project
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their evolution through time. To that end we are seeking an NPP applicant to develop methodologies to invert for time-evolving basal friction from massive volumes of surface flow observations
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Dust Grains by generating laboratory experimental and quantum computational data, and developing associated tools. These will be provided to the scientific community via three complementary databases
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to support investigations focused on short and long-term evolution of cloud/aerosol properties, dynamical flows, and transient phenomena. Studies of specific atmospheric features, such as Jupiter‘ Great Red
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planetary image datasets. The science targets selected for discovery should be motivated by current, relevant questions that advance our understanding of planet surface dynamics and evolution. Candidates
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development work could focus on moving towards hyper-resolution land surface representations, assimilation or observations, or downscaling and improvement of forcing data. Location: Jet Propulsion Laboratory
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retrieval algorithm development with focus on using the polarimetric signals, the new FIR or sub-mm bands, and/or the ML/AI approach; (3) ML/AI application on system/pattern tracking on satellite images