7 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at National Aeronautics and Space Administration (NASA)

ICAR - Advancing Multi-Messenger Biosignature Techniques with Machine Learning

National Aeronautics and Space Administration (NASA) | United States | about 18 hours ago

. Description: The Interdisciplinary Consortia for Astrobiology Research (ICAR) project on Advancing Multi-Messenger Biosignature Techniques using Machine Learning seeks suitable applicants to work on any of a

Machine Learning Applications in Solar System Exploration

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago

and related activities. Strong programming skills are a must, including experience with machine learning. Good written and oral communication skills in English are important. Point of Contact Mikeala

Characterization of ionospheric dynamics through application of machine learning techniques to GPS measurements

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago

). Revisiting Ionosphere-Thermosphere Responses to Solar Wind Driving in Superstorms of November 2003 and 2004. J. Geophys. Res., 122. https://doi.org/10.1002/2017JA024542 . 2. McGranaghan, R. M., A. J. Mannucci

Next-generation wildfire risk assessment using deep learning based high resolution fuel maps and stochastic fire spread modeling

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 18 hours ago

should have a strong background in data science, machine learning, remote sensing, wildfire science, or a related field. Experience with deep learning frameworks, satellite observations (e.g., Sentinel

Physical and AI Based Satellite Remote Sensing Algorithm-development and Applications

National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 18 hours ago

atmospheric science, physics, and computer science. Experience in analyzing satellite data and geospatial data are desired. Skills in AI, machine learning, deep learning, keras, Pytorch are preferred. A proven

Opportunities in Remote Sensing, Modeling, and AI/ML with NASA SPoRT

National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | about 1 month ago

to advance use of foundation models for Earth Science research and applications, including fine-tuning experiments Use of remote sensing, models, and/or machine learning to further our understanding

Strengthening NASA Air Quality Observations with Low-Cost Sensor Data

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago

analysis software packages. Demonstrated success in collaborative environments. Experience with one or several of the following: machine learning, data assimilation, ArcGIS, NASA satellite datasets. Point