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Field
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-agent systems, normative architectures (BDI), symbolic AI and safe LLM integration Contribute to the design and implementation of norm-constrained agent architectures with real-time compliance checking
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics,...
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project – “Urban smart digital services via LLM-based multi-agent collaboration”. They will be required to: (a) develop multi-agent systems; (b) conduct experimental result analysis, paper and report
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will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in
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The post The Faculty wishes to recruit a Postdoctoral Research Associate (Grade E) or Fellow (Grade F) to participate in the project “Agents that can err: Building the foundations for autonomous AI
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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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, robustness, and trustworthiness of multimodal AI agents. The role will focus on identifying novel attack vectors, developing automated red-teaming frameworks, and designing defense mechanisms to ensure
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the research project - “Agentic assistants for e-commerce clothing operation under brand ecosystem”. Qualifications For the post of Research Fellow / Project Fellow, applicants should have a doctoral degree plus
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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to clinically viable agents and therapies. As a successful candidate you will: · Utilize a combination of cell biological, molecular biological, cell engineering and immunological assays, large-scale high