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to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Apply optimization tools and machine
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through electrolysis using renewable energy, is a promising alternative for decarbonization and energy storage. Its integration into microgrids and energy communities can enhance flexibility, optimize
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(writing scientific papers, presenting work at conferences).; Good knowledge of supply chain sustainability.; Knowledge of combinatorial optimization. Minimum requirements: Proficiency in python programming
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. OBJECTIVES: The candidates will be involved in the development and optimization of spectral imaging systems, as well as in the development of automation tools and spectral signal analysis. 3. BRIEF
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optimization using augmented reality strategies.; The work to be developed involves analyzing the data obtained by the system, and integrating the information into the control interface, providing the user with
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TEC. 2. OBJECTIVES: Work developed under the InsectERA project that aims to optimize the subproduct collection routes in the insect-based supply chain. The grant holder will identify the logistics
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holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: System architecture optimization for hydrogen
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of the Fellowship are: 1) Apply reinforcement learning algorithms to optimize electrical networks considering energy transition challenges. 2) Develop and apply a protocol for assessing the robustness and safety