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? PhD position in Algorithms and Extremal Combinatorics There is a vacancy for a PhD Research Fellow in Algorithms and Extremal Combinatorics at the Department of Informatics . The position is for a fixed
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Algebra, Programming, Data Structures and Algorithms) and AI-related courses (Deep Learning, Feature Engineering). Candidates with experience in university teaching or R&D in related industries is an
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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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mission, we are in the final stages of developing a prototype for generating daily evapotranspiration products. One of the two selected algorithms, STIC, will be integrated and tested under conditions
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research on AI/ML methods for accelerating integrated circuit (IC) design. * Participate in the deployment and testing of AI/ML-driven IC design algorithms to both open-source and industry-standard CAD tools
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Associate to work on the
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 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 4 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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reinforcement-learning algorithms into a structural model of credit supply and demand, we assess how AI pricing tools alter equilibrium prices, credit allocation, and risk exposure. Second, we analyze online
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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