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, ensuring the quality and consistency of the datasets used.; 2) Development and implementation of computer vision algorithms for detecting and analyzing RBD-specific behaviors in vPSG videos. 3) Integration
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development new functionalities associated with eBPF technology. Specifically, it aims to explore its applicability to new domains (e.g., observability in HPC systems) as well as the design and development
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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 infrastructure. More specifically, this
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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 of grant
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select the appropriate methods for the study; - Develop the research capacity through the application of the selected methods; - Apply a critical spirit in the evaluation of the research process and the
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developing an efficient storage solution for AI applications deployed at HPC centers. In detail, the work will focus on the development of a storage solution that optimizes the persistence of checkpoints of AI
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-01193000) 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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holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The ADAPQO project aims to develop technology for optimizing queries on data management systems. In this context, the main
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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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-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