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) participant, you will join a community of scientists and researchers in an effort to conduct research in the areas of cybersecurity and microelectronics at the Air Force Institute of Technology. Why should I
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Recognition: Gain visibility with senior intelligence leaders while advancing your field. 2026/2027 Focus Areas: Artificial Intelligence, Biotechnology, Energy and Power, Microelectronics, and Quantum
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The GMAO is in the process of releasing a new reanalysis, and expecting development and release of MERRA
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). This research topic focuses on better understanding how atmospheric constituents such as aerosols, clouds
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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
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this opportunity? Please email npp@orau.org Qualifications Preferred Qualifications for the Ideal Applicant PhD in Cryosphere Sciences or similar field Strong background in machine learning and neural