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the state of the art in the fields of smart buildings, digital twins, and the development of building energy optimisation algorithms; Use of methods and tools for energy systems modelling and optimization.; 3
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optimize reimbursement claims with health insurers. The solution will be based on advanced hyper automation and generative artificial intelligence techniques, focusing on efficiency in terms of performance
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-EUROHPC-JU-2024-DARE-SGA-04,Grant Agreement 101202459, Funded by European High-Performance Computing Joint Undertaking, under the powers delegated by the European Commission, and Foundation for Science and
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aims to research and development new functionalities associated with eBPF technology. Specifically, it aims to explore its applicability to new domains such as vector database observability, as
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TEC. 2. OBJECTIVES: - Review of techniques and work related to Agentic Retrieval-Augmented Generation (Agentic RAG) architectures, multi-agent systems, and the integration of heterogeneous data sources
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holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Review of techniques and work related to
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to classify new findings being explored by the center. Data acquisition, as well as the preparation of presentations, scientific publications, and technical reports, are also part of the objectives
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industry needs. One of the laboratories involved is the x-Energy Lab – SmartGrids and Electric Vehicles Laboratory, part of INESC TEC’s Centre for Power and Energy Systems. It is in this context that INESC
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value chain. These components will be implemented and validated in real-world use cases in the hydro, solar, and wave energy domains, enabling analysis, monitoring, simulation, and decision support in
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at different monitoring stations off the Portuguese coast. ; ; Translated with DeepL.com (free version) 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - conduct a literature review on the ecology and