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Scholars Program, visit https://orise.orau.gov/doescholars or contact us at doescholars@orise.orau.gov . The DOE Scholars Program offers multiple opportunities during the year to accommodate the needs and
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, together with our industry partners, is the world‘s leading center for space drilling technology. Ames is also a NASA center of excellence in automation and robotics, so for the past decade a series of SMD
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The project examines how drones, robotic dogs, imaging systems, and AI based methods can
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, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The project focuses on the use of drones, robotic dogs, and imaging technologies
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. Description: Work with co-mentors Joshua S. Alwood, PhD, and April E. Ronca, PhD of NASA Ames Research Center in Moffett Field, CA. The NPP fellow will benefit from this valuable and diverse experience and
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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 accuracy of space geodesy is limited by mis-modeling path delay in the neutral atmosphere. The focus
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). New methods of constraining aerosol properties through the inversion of multi-angle, multi-spectral and
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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