300 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs in United States
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 15 hours ago
preprocessing; image remapping, color adjustment and combining; comparison to data from other telescopes; and subsequent investigations of reprocessed images which can focus on one or multiple scientific areas
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Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics
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For more information on the DOE Scholars Program, visit https://orise.orau.gov/doescholars or contact us at doescholars@orise.orau.gov . The DOE Scholars Program offers multiple opportunities during
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advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven
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or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 . Benefits Information A summary of benefits associated with this title/rank can be found at https
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analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational
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Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data
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: Biostatistics & Health Data Science, Environmental Health Sciences, Epidemiology & Community Health, and Health Policy & Management. Ranked nationally by the U.S. News & World Report as the #6 public school
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 15 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
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the development and advancement of NSSE and associated projects by co-leading a number of initiatives focused on supporting higher education institutions use NSSE data most effectively. This will