301 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Plymouth" positions at Zintellect in United States
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precipitation. Combinations of radio occultation data with other observational techniques that add information on cloud physical variables in presence of precipitation will also be pursued. Location: Jet
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. Description: The Postdoctoral Fellow will work with a team of world-class collaborators on the JWST Cycle 1 GO Program 2512 (https://www.stsci.edu/jwst/science-execution/program-information.html?id=2512
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. Sterczewski, Mathieu Fradet, Clifford Frez, Siamak Forouhar, Mahmood Bagheri First published: 15 September 2022 https://doi.org/10.1002/lpor.202200224 Field of Science: Technology Development Advisors: Siamak
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aerosol optical depth, single scattering albedo (i.e. absorption), size distribution, particle morphology, refractive index and chemical composition. Emphasis is placed on datasets with high information
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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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data is used to estimate vegetation 3D structure parameters such as height. The radar data (Interferometric Synthetic Aperture Radar or inSAR) was collected by spaceborne ALOS/PALSAR and airborne UAVSAR
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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
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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
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of data as well as empirical and theoretical modeling of the solar interior and atmosphere, including solar activity and the solar cycle. A program of research is being carried out to understand the coupled
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better understanding of the nature of dust—e.g., its size, shape, composition, and optical properties—allows better extraction of the astrophysical information it contains and enables higher fidelity dust