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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
high contrast imaging testbed for an eventual mission to image exoplanets with a coronagraphic space telescope. This testbed includes a high performance Phase-Induced Amplitude Apodization (PIAA
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Knowledge on numerical linear algebra, numerical methods, high performance computing, or other related fields Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time
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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
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to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput metabolomics, time-lapse
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doctoral graduate of a psychology program who is seeking licensure. Most of the resident’s time will be spent delivering clinical services with the remaining time spent in a combination of receiving and
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to lead analyses critical to the high-throughput identification and characterization of RNA modification enzymes research program and to take initiative in contributing to the design and implementation of a
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 hours ago
. Description: The EXoplanet Climate Infrared TElescope (EXCITE) experiment is a 0.5m infrared spectrograph that flies from a high-altitude balloon. EXCITE's primary science mission is to perform phase-resolved
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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, and Sustainable Process Engineering. The researcher will join a multidisciplinary research program aimed at optimizing natural graphite for Li-ion battery applications, developing sustainable
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, reliability, and consistent behavior. Learning-based controllers can achieve high performance in complex and uncertain environments, yet ensuring predictable operation under distribution shifts, sensor noise