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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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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298563/phd-research-fellow-in-control-and-optimization-for-multi-agent-uav-systems Where to apply Website https://www.jobbnorge.no/en
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field. Hands-on experience in designing and implementing software systems involving multi-agent frameworks. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting
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. We are looking for a Research Fellow to advance cutting-edge research in multi-agent systems for large language models (LLMs). The role will focus on conducting innovative research in multi-agent
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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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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Agentic Retrieval-Augmented Generation (Agentic RAG) architectures, multi-agent systems, and integration of heterogeneous data sources; - Design, development, and integration of Agentic RAG architectures
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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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data challenges. Responsibilities Design and implement LLM-based methods for clinical data harmonization, semantic normalization, and ontology alignment Develop multi-agent or RAG-style (retrieval
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disseminate high-quality peer-reviewed outputs in leading conferences and journals, such as CORE A* venues and top-tier international publications. Expertise in reinforcement learning, multi-agent systems, and