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loops, tracking dataset). Macro-level integration (commissioning) is beyond scope but evidence will inform future development. Currently, PEH needing help with teeth, feet, and eyes must navigate three
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recruitment becomes increasingly digital and AI-assisted, there is a pressing need for methods that are demonstrably valid, fair, transparent and acceptable to candidates. This PhD project will develop and
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or background in public health, microbiology or social science Why apply? This is project offers the opportunity to work on a fast-evolving policy-relevant challenge with real world impact. You will help define
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transportation as they potentially offer significant power density and efficiency benefits for cryo-fuelled aircraft. This PhD combines industrial and academic expertise to help to develop next-generation
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information storage. However, most DNA storage systems remain passive: data are written, archived, and read. This PhD project will help pioneer a new generation of dynamic DNA data storage systems capable not
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AI approaches, including surrogate modelling and large language model (LLM)-assisted information extraction from openly available international fusion datasets and literature. Applications may be
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wait until the day of the deadline! We may not always be able to answer your questions or help you to resolve any problems in time, particularly around our busiest application deadlines. Final Deadline
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of experimental data from literature and project partners will aid towards model validation. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in
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words) Academic transcripts (or interim transcript) Principal Supervisor Dr Francisca Martinez-Hergueta Assistant Supervisor Dr Matteo Taffetani Eligibility Minimum criteria: Funding Tuition fees
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and this study will help in doing that. This project has both fundamental and applied aspects. It will involve the use of atomistic Molecular Dynamics simulation to shed light on how and why this third