20 condition-monitoring-machine-learning Postdoctoral positions at National Aeronautics and Space Administration (NASA)
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 11 hours ago
. Description: This project will be focused on improving small-body impact monitoring capabilities in support of NASA’s planetary defense goals. With the advent of high-volume discovery systems such as the Vera C
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 11 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) | Pasadena, California | United States | about 4 hours ago
for detection, auto-correlation, and depth retrieval; validating signal reflection models through analysis of radar data; and evaluating the performance and limitations of passive sounding in realistic mission
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 11 hours ago
. Description: The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine
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Geological Evolution of Major Shield Volcanoes on the Moon Using Contemporary Lunar Mission Datasets
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 11 hours agoevolution combined with composition. The candidate will be an independent researcher. As part of their stay at the Jet Propulsion Laboratory, they will learn about mission formulation and mission development
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 11 hours ago
quantification of geologic CO2 and CH4 emissions on large scales are challenged by the remoteness of emission sites, inaccurate attribution of emission sources, emission variability, and insufficient monitoring
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
conditions is essential for designing more efficient TPS solutions (i.e., selecting optimal material systems, reducing design margins). Instrumentation, such as in-depth thermocouples and heat flux gauges, is
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 11 hours ago
biodiversity trends, particularly in response to Earth system variability, land-use change, and other shifting environmental conditions and stressors. Integrating in situ data with remotely sensed observations
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
) astrophysics, exoplanet habitability studies, and small satellite technology and operations. SPARCS is a NASA-funded 6U CubeSat designed to monitor UV variability from low-mass stars (K and M dwarfs) with
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago
processes and coupling with the atmosphere at regional scales. The Hydrological Sciences Laboratory includes the Land Information System (LIS), the NASA-Unified Weather Research and Forecasting (NU-WRF), and