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papers based on research findings. Developing research proposals related to multi-agent systems and their applications. Job Requirements: PhD degree in Computer Science, Artificial Intelligence, or related
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; - Design, development, and integration of Agentic RAG architectures based on an orchestrator and a set of intelligent agents for information retrieval and processing; - Validation of the proposed solutions
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based on an orchestrator and a set of intelligent agents for information retrieval and processing; - Validation of proposed solutions through empirical studies in representative decision support and
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-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
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expertise in agent-based modelling. The models we build will have an interface with community stakeholders and mobility service providers, so we are particularly seeking applicants who are comfortable in
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systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid architectures that combine
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speed, compute efficiency, and scalability with concurrent agents. Enable real-time adaptive learning via human-in-the-loop feedback and reinforcement learning mechanisms in collaboration with other work
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. The postdoc will join the Data and Knowledge Management (DKM) group at the Department of Informatics. The research in the group focuses on Data Management, logic-based Knowledge Representation, Reasoning and
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/servicoLogos/Concursos/verAnex… https://arquivo.ciencias.ulisboa.pt/servicosCake/servicoLogos/Concursos/verAnex… Work Location(s) Number of offers available1Company/InstituteLASIGE Computer Science and