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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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troposphere and stratosphere (UT/S) - and its role in climate. We use a combination of satellite data, high-altitude aircraft measurements, and models to investigate variations in and processes that impact
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Organization National Aeronautics and Space Administration (NASA) Reference Code 0270-NPP-NOV26-JPL-PlanetSci How to Apply All applications must be submitted in Zintellect Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA...
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. Description: Theoretical research and computer simulation are carried out with emphasis on observations of space plasmas. Specific interest areas include (1) nonlinear phenomena in unstable collisionless
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interest in weather/fuel and related data processing, analysis and visualization, to help research and develop potential expansions to our suite of weather-knowledge-based decision support systems and tools
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be in English or include an official English translation. If you have questions about the application process, contact NETLinfo@orau.org . After you have submitted an application in Zintellect, you may
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at evaluating the use of bacteriophage to treat Staphyloccocus aureus colonization and/or disease in order to better combat multi-antibiotic-resistant bacterial pathogens. A major goal of this project is to
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application process, please email ORISE.ARS.Northeast@orau.org and include the reference code for this opportunity. Qualifications The qualified candidate should be currently pursuing or have received a
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receive training in microbiology and basic bioinformatic methods used to assess the microbiota. Mentor: The mentor for this opportunity is Paul Carlson. (Paul.Carlson@fda.hhs.gov ). If you have questions
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, genetics, analytical chemistry, geology, geophysics, statistics, and physical sciences. DNA-related STEM research focuses on developing and validating new methods, including massively parallel sequencing