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                TEC. 2. OBJECTIVES: This project aims to compare advanced GANs for tabular data with open-source LLMs that can run on local computers. The goal is to see their strengths, differences, and how well 
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                /pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Real-time signal analysis algorithms, feature identification, and personalized 
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                TEC. 2. OBJECTIVES: Collaborate with clinical partners in data collection and annotation Design and implement new deep learning solutions for the analysis of heart sound auscultation, electrocardiogram 
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                insurance, supported by INESC TEC. 2. OBJECTIVES: Study the state-of-the-art in space robotics, focusing on navigation, control, and gas propulsion systems.; • Develop navigation, detection, and localization 
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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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                to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Study and improvement of developed 
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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: - broaden the knowledge of the state 
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                . OBJECTIVES: - To expand knowledge of the state of the art in the area of radar + video systems for motorcycles; - Identification and selection of the most adequate optimization methods to address the proposed 
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                insurance, supported by INESC TEC. 2. OBJECTIVES: The main goal of this grant is to improve the performance of key-value storage systems, such as RocksDB, while ensuring strict durability guarantees 
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                . OBJECTIVES: - To expand knowledge of the state of the art in the area of antenna characterization systems; - Identification and selection of the most adequate optimization methods to address the proposed