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research grant aims to achieve the following objectives:; • Expand scientific and technical knowledge in real-time simulation, creating the conditions for the remote control of a real-time computational
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infrastructure. More specifically, this research grant aims to achieve the following objectives:; • Expand scientific and technical knowledge in real-time simulation, creating the conditions for the remote control
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infrastructure. More specifically, this research grant aims to achieve the following objectives:; • Expand scientific and technical knowledge in real-time co-simulation, creating the conditions for a single real
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developing synthetic datasets using simulation environments. Familiarity with the theory and implementation of diffusion models and GANNs applied to the same context. Minimum requirements: • Knowledge
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the fact that security and data breaches in AI systems can progressively affect the quality of future decisions - Development of a simulation system that allows, through a disturbance agent, the
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the fact that security and data breaches in AI systems can progressively affect the quality of future decisions ; - Development of a simulation system that allows, through a disturbance agent, the
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AND TRAINING: - survey and analyze the state of the art in emerging wireless networks, including simulation aspects using real data assimilation, Machine Learning, and digital twin approaches
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, simulate, and prototype control circuits tailored to the selected electronic devices.; 3. Collaborate in the development of antenna prototypes integrating the electronic devices.; 4. Support the preparation
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the modelling and control of microgrids Previous experience in real-time simulation and Power Hardware In the Loop test systems. At least one paper in conference or journal. Minimum requirements: Solid experience
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with simulation techniques, energy efficiency models, large-scale energy consumption data, machine learning techniques and interpretation (unsupervised); - Education, experience and research orientation