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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
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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total 30 ECTS credits. participate in the collaborative activities within the MishMash centre participate in the Music and Artificial Intelligence (MoKI ) research group work under the supervision of one
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applications. The focus is on intelligent sensor systems that efficiently acquire, process, and evaluate data—even under demanding operating conditions. Working in interdisciplinary teams, we combine scientific
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(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
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Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component
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We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in Artificial Intelligence. College / Directorate College
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Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component
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Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication, learning, and shared understanding in blue
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challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence