21 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at INESC TEC
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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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, 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
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electrical engineering projects.; - Knowledge of libraries for developing and training ML models; Minimum requirements: - Knowledge of computer programming. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS
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the generated data can be used in practice. A new metric to help this comparison is expected to be created. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Test GAN models – Compare leading GANs
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for the applications, with dynamic and volatile loads, that run on these infrastructures. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Design of a control system that enforces QoS policies for energy
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), followed by the customization and integration of dynamic security analysis mechanisms. 4. REQUIRED PROFILE: Admission requirements: BSC Degree in Informatics Engineering or related field. The awarding