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                insurance, supported by INESC TEC. 2. OBJECTIVES: Over the years, large-scale infrastructures have been developed to support high computing performance without worrying about energy consumption. With 
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                , supported by INESC TEC. 2. OBJECTIVES: The main objective of the work to be carried out during the grant is to design and implement storage optimizations to be incorporated into a new flexible and modular I/O 
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                , supported by INESC TEC. 2. OBJECTIVES: The main objective of the work to be developed during the grant is the design and implementation of a new benchmarking tool for storage systems. It should allow 
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                /pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - The objectives of the scholarship focus on obtaining and processing datasets in a 
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                ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: CAD systems for the automatic detection of pulmonary nodules on CT are one of the most studied applications 
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                of Tuition fees to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Artificial intelligence 
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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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                of Tuition fees to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Identify hybrid microgrid 
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                TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the scientific field of DevOps Cloud Architectures, Infrastructure as Code (IaC) and on-demand, intelligent configuration of self 
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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