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. Generative AI and AI agents are rapidly changing how software-based systems are being designed, developed, and evaluated. While AI agents have become common in certain Software Engineering tasks, such as
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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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agents, generating knowledge on the substances currently being distributed and used. The successful candidate will contribute to the development of analytical tools and knowledge that support forensic
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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation
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how AI is changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across
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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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familiarity with bioinformatics workflows for microbiome, genomic, or ARG data. Computational modeling & systems thinking Strong quantitative aptitude and interest in agent-based modeling, simulation, and
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. The energy is continuously injected at the level of the individual particles or agents, keeping the system out of equilibrium. Examples of active matter include bacterial colonies, cytoskeleton formed by
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Want to teach machines the mechanisms behind how the world changes — and build agents that act on them? Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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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