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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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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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, supported by INESC TEC. 2. OBJECTIVES: This grant aims to investigate and practically analyze the security features of DevOps components, such as GitHub Actions. This exploration will enable an assessment
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://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Enlarge the knowledge of the state of the art regarding reconfigurable
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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: - Enlarge the knowledge of the state
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insurance, supported by INESC TEC. 2. OBJECTIVES: The main goal of this grant is to design a new storage system that leverages heterogeneous storage hierarchies. Specifically, the work to be developed should
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: "Payment 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: Study
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insurance, supported by INESC TEC. 2. OBJECTIVES: - Expand knowledge of the state of the art in common data spaces and interoperability.; - Implementation of computational solutions for secure data sharing
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://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The AI-RBD (AI-driven video analysis for REM behavior disorder detection
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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