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a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives), and integrating a multimodal detection
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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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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a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives), and integrating a multimodal detection
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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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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Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for excellent and motivated candidates with expertise in Logics for Multi-agent Systems