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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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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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, 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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, 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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of inertial underwater navigation and dynamic flow measurement systems; - Development of a flow and pressure sensor array on a flexible PCB (print circuit board); - Development of instrumentation and a
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-resolution mechanisms of hash tables using linked lists and dynamic arrays; development of test cases to validate the implemented techniques.; 4. REQUIRED PROFILE: Admission requirements: Bachelor's degree in
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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