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and experimental evaluation of the solution, so that query execution plan decisions better reflect the cost of executing code in kernel space versus user space.; Such a solution will be essential
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of AI-based decision quality. ; ; The main objectives of the Fellowship are:; 1) Apply reinforcement learning algorithms to optimize electrical networks considering energy transition challenges.; 2
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PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Review the state of the art on transparent metasurfaces, Reconfigurable Intelligent Surfaces (RIS), and transparent conductive technologies based on metal-mesh
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; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Previous experience demonstrated in developing components for Data Spaces; - Demonstrated experience in a professional context. 5
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the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
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the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
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research capacity through the application of optimization methods; - apply innovative techniques to problems related to smart energy networks. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING