4 deep-learning Postdoctoral positions at National Aeronautics and Space Administration (NASA)

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 4 hours ago

. Description: This project aims to develop a next-generation wildfire risk assessment platform that tightly integrates Earth Observation (EO) data, deep learning, and dynamic fire behavior modeling

Prithvi-EO Foundation Model for Forest Structure, Biomass, and Fire-Relevant Metrics

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago

carbon-cycle modeling. The project will build a unified modeling framework that uses GEDI LiDAR and Landsat/HLS data to train deep learning models capable of predicting forest structure variables such as

ICAR - Advancing Multi-Messenger Biosignature Techniques with Machine Learning

National Aeronautics and Space Administration (NASA) | United States | about 4 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

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

National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 4 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