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structural development over time at the group, sub-group, and individual level (e.g., using normative modelling and clustering approaches to parse heterogeneity). The candidates will further have the
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also highly valuable. The successful candidate will be expected to work on estimating dynamic models of medical spending and savings and is expected to publish in high-impact academic journals, and to
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
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A position exists for a Postdoctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics modelling the decontamination of porous and absorbent material. This project
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will be expected to work on estimating dynamic models of medical spending and savings and is expected to publish in high-impact academic journals, and to contribute to the collegial and intellectual life
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The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on digital twin modelling for marine engines and propulsion systems
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, BRCA2, and PALB2. Through advanced single cell genomics, in vivo modelling, and immune profiling, the team will study early molecular and cellular changes that occur in high-risk breast tissue. The team
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work with in vitro and in vivo models of genetic diseases would be advantageous. Please see the below 'Job Description' for further details on the role, responsibilities, and selection criteria, as