9 formal-methods Postdoctoral positions at National Aeronautics and Space Administration (NASA)
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 hour ago
transfer modeling, which leverages in-depth temperature measurements to estimate surface heating conditions. These methods are also invaluable in high-enthalpy test environments like arc jet testing, where
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
understanding of passive radar sounding using planetary radio emissions. Areas of interest include characterizing the spectral and temporal properties of planetary emissions such as DAM; improving methods
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 14 hours ago
computational methods. These quantities feed into our group's thermodynamic and geophysical numerical models. In addition, we are interested in investigating the consequences of the presence of organic matter in
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or more SSERVI team; past or current experience relevant to SSERVI's mission or to the research being conducted by one or more SSERVI team; expected contributions during the SSERVI appointment; methods
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 40 minutes ago
hydrologic model calibration, and use of artificial intelligence to improve existing methods in these areas. Topics related to model development include improvement of surface and groundwater hydrologic
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 38 minutes ago
and accurate orbit determination and hazard assessment methods. Research will center on: (1) developing new observation weighting schemes that exploit the expanded metadata available in the Astrometry
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 14 hours ago
wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 36 minutes ago
development of advanced statistical methods (e.g., AI/ML) in recent years. These foundation models represent significant advances in the field of modeling and computer science. The challenge today is to explore
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 14 hours ago
from multiple methods and developing cross-sensor capabilities (e.g., combining SAR and hyperspectral) will be essential for deriving meaningful insights for biodiversity and ecological conservation