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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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-01489700 Co-funded by ERDF - European Regional Development Fund through the Innovation and Digital Transition Thematic Programme (COMPETE 2030) within the scope of Portugal 2030. 1. GRANT DESCRIPTION Type
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are to research and develop new features for the Intel SPDK platform (Storage Performance Development Kit). More specifically, we are looking for new scientific contributions that:; 1) improve the platform's
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-FEDER-01489500) Co-funded by ERDF - European Regional Development Fund through the Innovation and Digital Transition Thematic Programme (COMPETE 2030) within the scope of Portugal 2030. 1. GRANT
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: In this project, we intend to develop a new approach based on physically inspired hybrid machine
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://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Development and testing of algorithms and methodologies based
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://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Development and testing of algorithms and methodologies based
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engineering Grant duration: 6 months, starting on 2025-11-07 , with the possibility of being renewed until the end of the project. Scientific advisor: Luís Manuel Pessoa Workplace: INESC TEC, Porto, Portugal
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TEC offers the opportunity to collaborate on this ambitious project, namely by contributing to technical capacity building, tool development, and the strengthening of the x-Energy Lab’s laboratory
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TEC offers the opportunity to collaborate on this ambitious project, namely by contributing to technical capacity building, tool development, and the strengthening of the x-Energy Lab’s laboratory