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(h.wu@soton.ac.uk), for a detailed discussion prior to application. About Dr Han Wu Dr Han Wu is a Lecturer (Assistant Professor) in the School of Electronics & Computer Science at the University
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contributing to better hazard and risk assessments for decision-makers. This PhD will be part of a broader five-year project funded through the MBIE Endeavor Research Programme, titled, “Hazard, risk and impact
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spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based on the use of state-of-the-art
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with Dr Sophie Nightingale (Psychology), Dr George Brown (Linguistics), and Professor Claire Hardaker (Linguistics) to add to the evidence base needed to design and develop approaches to mitigate
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present with neurodevelopmental deficits associated with Autism Spectrum Disorder and hyperphagia, and in healthy controls. We will be using a range of methods, including behavioural phenotyping, cognitive
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
Christina Latsou 2nd Supervisors: Professor John Erkoyuncu , Dr Bernadin Namoano Entry requirements Applicants should hold a First or Upper Second Class UK Honours degree (or international equivalent) in a
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@brunel.ac.uk and Professor Xinyan Wang: xinyan.wang@brunel.ac.uk Closing date for applications: 28 September 2025 For further details about the post including the Job Description and Person Specification and to
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report on research progress. Contribute to the preparation of journal papers and conference proceedings. For informal queries, please contact Prof Hua Zhao: hua.zhao@brunel.ac.uk and Professor Xinyan Wang
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report on research progress. Contribute to the preparation of journal papers and conference proceedings. For informal queries, please contact Prof Hua Zhao: hua.zhao@brunel.ac.uk and Professor Xinyan Wang
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: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield