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of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale
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targets for future NASA flagship direct imaging missions, as these are the prime candidates for directly imaging exo-Earths. Surveying these stars with ground-based extremely precise radial velocity (ERPV
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products from airborne and space-borne imaging spectroscopy missions, e.g., the HyspIRI airborne campaigns, DESIS, HISUI, and Hyperion. This effort will also inform the science data processing architecture
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energy and to complete the census of all possible types of exoplanets in the Milky Way galaxy using wide-field imaging onto a very large, dense detector array. To accomplish this, the mission will
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on SAR and optical images, GPS, seismometer waveforms, and gravity measurements. Time series analysis of the SAR interferometry and other data is a key part of the research. We then infer the structure and
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. Description: This research opportunity focuses on the development of the broadband THz Hot-Electron Bolometer (HEB) mixers with the ultimate sensitivity for operation on orbital and suborbital platforms
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system of the solar interior and the solar atmosphere using a combination of theory, simulation, and data analysis investigations. Theoretical studies and computer modeling of the internal structure
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. This fellowship offers a unique opportunity to be at the forefront of groundwater technology, gaining experience on projects ranging from groundwater sampling and geophysical imaging in the field, analysis
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individuals and as communities comprising larger ecosystems. Traits are also often used as parameters in computer models of terrestrial ecosystems and even the entire Earth System (such as climate models used
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image-based phenotyping of fruit quality and yield to improve cataloging and characterization of germplasm holdings. The research will generate publishable methodologies and results that support data