14 molecular-modeling-or-molecular-dynamic-simulation Fellowship scholarships at INESC TEC
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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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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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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 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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, 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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algorithms; - Automation of the model customization process by conducting laboratory tests.; - Improvement of the data workflow for real-time processing and sharing.; - Data collection in experimental and real
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are:; - Developing energy consumption forecasting tools based on real data.; - Applying these tools to a use case.; - Writing reports and articles for international conferences and journals using the new models and
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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: • modelling and optimisation of PCM thermal storage for buildings and industry use