466 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions in United Kingdom
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environment; opportunities to co-create your project; hands-on fieldwork and wildfire simulation experience; collaboration with leading researchers; and training in advanced characterisation, data analysis, and
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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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their suitability for real-time emergency decision-making. This project addresses this challenge by combining physics-based modelling with data driven surrogate approaches. The first stage of the project will involve
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postgraduate degree. For more information on English language requirements, please visit this page . Further details The School of Computing at the University of Kent and Huawei invites applications for 2 fully
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aspects of machine learning. Applications include improving the efficiency of data assimilation methods and understanding why and how deep learning works. Applicants should have, or expect to achieve
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with bioprocess modelling and simulation tools (e.g., Aspen Plus, MATLAB, or Python), TEA, and LCA. Strong data analysis, problem-solving, and teamwork skills. Commitment to sustainability and research
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural
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bone cells toward regeneration. These will be characterised using AFM and rheology, followed by immune–osteogenic co-culture studies to evaluate mechanotransductive signalling. The resulting data will
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Dr Nadimi (sadegh.nadimi-shahraki@ncl.ac.uk) for more information. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Sponsor EPSRC Supervisors Lead Supervisor: Dr Sadegh Nadimi
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experimental test data. This project will harness new software capabilities to better understand bone mechanics, providing insight into the cause of OI fractures and its management. The successful candidate will