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. Organise travel and relevant insurances, visas, etc liaising as necessary with travel agents, internal colleagues, and external institutions/companies. Prepare comprehensive itineraries in advance of travel
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scheduling and leading meetings Conduct independent research projects on multi-agent systems and reinforcement learning to develop and es-tablish individual research profile Develop and set up production
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: System-Level Impact Analysis of IAM using Agent-Based Models Supervisor: Prof. Dr. Regine Gerike, Chair of Mobility System Planning and co-supervised by at least one additional professor
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maintainability as well as monitoring of energy efficiency post occupancy. This role leads the development of commissioning standards, scopes or work, and RFPs; manages external commissioning agents; and acts as
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area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of
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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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of medications and therapeutic agents necessary to implement treatment, disease prevention, or rehabilitative plan of care. perform skin tests, immunizations, phlebotomy and the initiation of peripheral venous
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, especially large language models (LLMs), enable the development of interactive AI agents that can support human learning in complex, safety-critical environments. Human-centered AI in this project means
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using gem5 simulator as the main execution backend for the RL agent, while also investigating the potential of RTL simulation and physical RISC-V board as complementary execution nvironments. A key aspect
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discovery methods to enable a search for explanatory multi-level agent-based models that can be calibrated to - and validated against - such empirical phenomena. Funding Notes This is a self-funded research