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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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, that the candidate considers more relevant or with greater impact in order to allow the corresponding relevance, quality, timeliness and adequacy. - Copy of certificates or diplomas degree - Other documents that you
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of genAI systems, simulation and Digital Twins, with corresponding back-end and front-end implementation. Academic Qualifications: Master's degree in Computer Engineering or equivalent Minimum profile
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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
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algorithms for free-flying robots in microgravity.; • Implement and validate real-time multi-target tracking techniques.; • Validate the algorithms in simulated scenarios, evaluating robustness and accuracy
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AND TRAINING: - survey and analyze the state of the art in emerging wireless networks, including simulation aspects; - collaborate in the preparation of technical reports on the algorithms, mechanisms
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integrated systems with control software, data acquisition, and analysis; Validate the detection systems in a simulated environment. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Monitoring CO2 in
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and testing solutions in a simulated clinical environment, ensuring the applicability of the developed models in clinical practice.; 4) Participate in the analysis of results and benchmark the system