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want The postdoctoral research associate will be working on developing machine learning/artificial intelligence algorithms for various applications, including energy systems, health systems, and marine
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 2 months ago
. the aerosol indirect effect. Opportunities also exist for the advancement of radiative transfer model algorithms to improve both the physical representation and speed of computations. These algorithms
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| Electrical and Computer Engineering Performs research on characterizing the theoretical performance guarantee for various machine learning methods; and designing fast and efficient algorithms and analyzing
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using jets and heavy-flavor probes. The candidate will also participate in algorithm and software development for the LHCb trigger system as part of the Real Time Analysis Project. A Ph.D. in experimental
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The research group of Sergei Gukov at Caltech is seeking a Post-Doctoral Researcher to join our new team. The selected candidate will contribute significantly to a focused research program in Artificial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
-scale data processing and analysis Preferred Qualifications, Competencies, and Experience Experience with implementation of coaddition algorithms and high-performance computing Experience with large
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
Experience with implementation of photometric and time-series detrending algorithms and high-performance computing Experience with large software projects, including proficiency across the software development
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Sign In Create Profile Postdoctoral Research Associate (Electrical and Computer Engineering) Tucson, AZ, United States | req22541 Apply Now Share Save Job Posted: 5/2/2025 Back to Search
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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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sampling), biogeochemical/physical process-based model, advanced AI algorithms, and top-down atmospheric inversions. Tasks Include: Developing AI-ready benchmark datasets to aid in the AI algorithms