19 agent-based-modeling 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 4 hours ago
is reproduced in the NASA Ames Electric Arc Shock Tube (EAST) facility, and is used to test models developed to predict the heating mechanisms. The primary models employed are the DPLR computational
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
is reproduced in the NASA Ames Electric Arc Shock Tube (EAST) facility, and is used to test models developed to predict the heating mechanisms. The primary models employed are the DPLR computational
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
. Description: The NASA Earth eXchange (NEX) seeks a post-doctoral fellow to conduct research related to developing and applying foundation models, including the recently developed Prithvi WxC model. The fellow’s
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
-based instrumentation, such as those managed by AERONET (AErosol RObotic NETwork). AERONET is comprised of sun photometers and radiometers that retrieve the atmospheric state by accurately measuring
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
. Description: The NASA Earth eXchange (NEX) seeks a post-doctoral fellow to conduct research related to developing and applying foundation models, including the recently developed Prithvi WxC model. The fellow’s
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
-based instrumentation, such as those managed by AERONET (AErosol RObotic NETwork). AERONET is comprised of sun photometers and radiometers that retrieve the atmospheric state by accurately measuring
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
observations and model-based data. Apply machine learning techniques to optimize factor weightings and reveal critical wildfire drivers. Validate models using multi-source wildfire data (MODIS, VIIRS, and NOAA
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 24 hours ago
learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data. The fellow will be a part of the NASA Earth eXchange (NEX). Current NEX activities include exploiting
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months ago
observations and model-based data. Apply machine learning techniques to optimize factor weightings and reveal critical wildfire drivers. Validate models using multi-source wildfire data (MODIS, VIIRS, and NOAA
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
modelling of trace gas emissions are also considered a strength. We encourage research proposals to explore questions around the use of plume imaging technology to geolocate and quantify natural emissions