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                title: UDC-Inditex Chair of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01 
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                title: UDC-Inditex Chair of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01 
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                : Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods 
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                : Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods 
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                , CU/DU/RU split). - AI/ML algorithms and methods for joint compute and radio resource management at the 6G edge leveraging accelerators - Control- and data-plane separation, real-time scheduling, and 
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                Analytics research group at the Catalonia Institute for Energy Research (IREC) is looking for a senior researcher (R2) to join our team and contribute to the development and integration of advanced algorithms 
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                algorithms to extract clinical indices and provide new digital biomarkers for sleep medicine. The aim of the project is to develop new algorithms and tools of Digital Health for non-invasive, home-based sleep 
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                of Alicante’s GESTA research group to pursue a doctoral thesis with an industrial doctoral certification, within the scope of the aforementioned project for the development of mathematical algorithms for early 
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                analysis, AI algorithm modeling, testing, and integration into functional systems within the project scope. Specifically, in activities related to behavior modeling from IoT device data, generative AI 
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                seeking a senior postdoctoral researcher (R2 level) to take on a leading technical role in the development of advanced modelling, control and optimization tools for smart energy systems. The selected