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, load forecasting, PV and wind forecasting, and load simulator. The tasks also cover server deployment, the development of an intuitive and dynamic dashboard, and ensuring seamless interaction between
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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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; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - develop new modules to enable the simulation and/or experimentation of emerging wireless
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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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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
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planning modeling ; Integration of renewable energy self-consumption strategies in electricity market simulation; Writing technical and scientific papers for international conferences and journals ; 4
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.; - Develop skills in artificial intelligence and machine learning techniques for analyzing operational data and detecting anomalies, using foundational model approaches (e.g., GridFM project, LF Energy
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to this type of text; Validate the results of the LLM models developed by the computer science team for information identification, extraction, simplification and summarization tasks in European Portuguese
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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