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experimental platforms for evaluating AI agent capabilities. Conduct experiments and performance evaluations for AI models and agent systems. Improve system robustness, scalability, and efficiency through
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based on an individual-centered spatial analysis approach (geomatics) using AgentBased Modeling to model mobility and its evolution. The postdoctoral researcher will intervene in the second phase
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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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 9 hours ago
software engineering skills in Python, including testing, packaging, and maintainable code development. Experience building or working with agentic systems, LLM-based tool use, or workflow orchestration
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, or performance. In this project, the research done by the PhD student will address the interaction layer in a multi-agent systems. It will focus on how to secure interactions can be generated based on emerging and
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FLAME-GPU accelerated agent-based modelling of material response to environmental and operational loading EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce
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, automation, or autonomous systems. - Dynamic modeling and physical simulation. - Trajectory planning, navigation, or robot control. - Interest in multi-agent systems and human-robot interaction. Technical
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. Proven research track record demonstrated by publications in top-tier conferences. Demonstrated expertise in large language models (LLMs) and their application to software security, multi-agent system
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interactions can be generated based on emerging and pre-defined protocols for interaction between agents, between agents and their environment and between agents and humans. By an interaction protocol, we mean a
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LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) sys- tems, integrating LLMs with