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during the grant is the design and implementation of a SQL-to-eBPF compiler that allows querying and correlating information about the state of the operating system. The work also aims at the optimization
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. Advanced machine learning, reinforcement learning, and agent-based optimization techniques will be developed to reduce voltage deviations, cut active power curtailment, and improve system adaptability under
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coupling systems.; • Develop technical skills in electromagnetic modeling and simulation tools, as well as in energy efficiency optimization algorithms.; • Consolidate the ability to write scientifically and
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or entropy coding; Knowledge of code optimization, parallel programming, and performance analysis, including computational complexity, throughput, latency, and memory management; Ability to work independently
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; Knowledge of TDOA-based localization, multilateration, or positioning systems; Experience with Kalman filters, nonlinear optimization methods, or target tracking algorithms; Knowledge of distributed
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applications.; - Advanced knowledge of 3D modeling (3D modeling, UV mapping, texturing, polygon optimization). Minimum requirements: - Experience with the Unity game engine; - Experience in creating 3D models
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, promoting the sequestration of carbon dioxide (CO2). This work can be divided into two main parts, which are integrated and complement each other: Part A – Development and optimization of the CO2 fixation in
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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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, ASV, ROV, docking station) 2. Select and integrate embedded computing optimized for real-time vision/AI 3. Develop multi-platform energy management, depending on consumption profiles and defining
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structures.; • Design and optimize, through full-wave electromagnetic simulations, a transparent unit cell operating in the FR3 frequency band.; • Investigate the integration of memristive switching devices