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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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Vacancies PhD position on hermetic packaging of microfluidic sensor chips without glue or elastomers for ventilators and multi-infusion systems Key takeaways In medical equipment, many different gas
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be detected. Some applications may require the use of gaseous anaesthetic agents such as isoflurane and desflurane. This also imposes demands on the chemical compatibility of the materials used. In
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to teaching, supervision and administrative tasks at the Department. The PhD project is situated within the research area of logics for multi-agent systems, and their applications to formal verification
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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation
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chemical warfare agents (CWAs), allowing for safe working outside of the lab. However, it is currently poorly understood how to model the interaction of CWAs with supramolecular hosts with respect
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Fusarium graminearum, the causal agent of Fusarium Head Blight (FHB), and the English grain aphid (Sitobion avenae), one of the most economically important pests of cereal crops. FHB causes substantial
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large language models, trustworthy AI, and multi-agent systems. Successful candidates will work alongside faculty and PhD students on research tasks that span model development, evaluation, and deployment