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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
of radiance data from new hyperspectral infrared instruments such as IASI-NG, MTG-IRS Enhancement of CrIS radiance assimilation algorithm are highly encouraged. - Use machine learning methods to cope with model
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
retrieval algorithm development with focus on using the polarimetric signals, the new FIR or sub-mm bands, and/or the ML/AI approach; (3) ML/AI application on system/pattern tracking on satellite images
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dimensionality reduction * development of optimization algorithms and numerical modeling procedures * development of simulation models using commercial packages (CST, ADS, HFSS, etc.) * writing technical reports
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solutions, including training algorithms and preparing solutions for clinical implementation. Assess the impact of your workflow solutions after implementation, determining whether the expected improvements
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work with Benjamin Gyori at Khoury College and Ayan Paul at EAI and is expected to develop AI algorithms for LLM based RAG systems, work with graduate students working on the same project, and
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for its 2026–2027 Herman Goldstine Memorial Postdoctoral Fellowship for research in the theory of algorithms and algorithm design. The fellowship provides scientists of outstanding ability an opportunity
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José Sesé Abad Funding body: CAIB Institution: Universitat de les Illes Balears (UIB) / University of the Balearic Islands (UIB) Where to apply Website https://ppi.uib.eu/ Requirements Research
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deadlines. A bachelor’s degree in Computer Science or Computer Engineering is required. The candidate should also demonstrate experience and excellence in systems or tool building, algorithmic thinking, and
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), National Animal Disease Center, Virus and Prion Research Unit, located in Ames, Iowa. For an introduction to the Flu crew at the National Animal Disease Center, please see: https://youtu.be/kOJy8tFTuiI About
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to source localization based on microphone arrays or distributed sensors. This PhD project will focus on the development of novel methods and algorithms for airborne noise source localization in generic urban