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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to conduct direct numerical simulations of turbulent flows over rough surfaces under non-equilibrium
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that are conducive to successful completion of the problem at hand. Particular focus will be on multi-robot and multi-agent problems (e.g., navigation, cooperative transport, team-based agent games). The ideal
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engines). VRIVEN develops concepts for next-generation methanol-fuelled ships whereas HySOME investigates hydrogen-fuelled ship operation. Both projects employ simulation tools to derive insights
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landscapes, including our partners at the UK CEH. Eligible candidates must have a background in simulation modelling and a proven ability to communicate results. They should have obtained, or will soon obtain
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similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical
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or social robots; trust and reliance on conversational agents designed to be charming and disarming; so-called "dark patterns" and manipulative tactics in the user interfaces of a range of technologies, from
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, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data, disambiguate historical agents, and contribute
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. Your experience and ambitions Master degree in architecture, engineering, or other relevant field Experience in life cycle assessment (LCA) and energy simulation, knowledge of One Click LCA and IDA-ICE
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural