17 phd-image-processing Postdoctoral research jobs 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
@orau.org Qualifications The successful applicant should have a PhD in science or engineering discipline with experience in running reacting fluid dynamics simulations. Experience with high fidelity, state
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
PhD in a relevant field such as structural mechanics, heat transfer, numerical optimization, topology optimization, or lattice design. The postdoctoral scholar will be responsible for vigorously
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
the research to their interests, and can contribute to all aspects of the mission, including other aspects of science analysis, improvement of engineering processes, and data processing. SPARCS emphasizes
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include: the role of the Target Bodies in revealing the origin and evolution of the inner Solar System; investigations as windows into planetary differentiation processes; near-Earth asteroid
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 hour 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) | Greenbelt, Maryland | United States | about 1 hour ago
. The candidate must have hands-on instrumentation experience and ability to connect this to atmospheric radiative transfer through an understanding of data processing and analysis. A successful candidate will have
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
with wildfire risk indices, fire behavior, and ecological processes. Proficiency with quantitative analysis tools and programming languages used for large datasets. Excellent communication skills and