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to harness the power of Data Science, Process Mining and Artificial Intelligence to optimize public administrations (PA) processes that interact with complex data. The main objective is to face the
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developments already underway, support the development and optimization of methodologies and assays, and contribute to project dissemination and the writing of scientific articles. Applicable legislation and
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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
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; 3. Development of a computer tool for the optimal design of an energy storage system according to the characteristics to be considered. 4. Analysing results and writing technical reports or scientific
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developments that have already been initiated, as well as support the development and optimization of methodologies and the dissemination of the project. Applicable legislation and regulations: Statute
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down in article 9 of the Research Grants Regulation of the Portuguese Foundation for Science and Technology (2019). Workplan and objectives to be achieved: Optimization of solid state fermentations