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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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the performance of novel, renewable, wave energy harvesting approaches. Here the research ambition is to extend the state of art from small scale sensor networks (nW’s to mW’s), towards a vehicular scale (W’s to
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, to provide an evidence base and better understand the true performance of these strategies. Number Of Awards 1 Start Date 29 September 2025 Award Duration 4 years Application Closing Date Monday 30 June 2025
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candidates with: • Relevant subject matter experience at required level (e.g. 2.1 or above undergraduate degree in physics, mathematics or computer science) • Willingness to adapt and work across different
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position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do research in the area of
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October 2025. Later start date is possible, please contact Dr Isabella Guido once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme. We are seeking a highly
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, Humanities or other relevant subject. You will have some experience and sufficient specialist knowledge in the discipline to work effectively within the research programme. You will also have the ability
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an exceptional opportunity to conduct cutting-edge research at the intersection of machine learning, healthcare, and computational modelling, contributing to real-world clinical impact. What is offered
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an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
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(e.g. 2.1 or above undergraduate degree in physics, mathematics or computer science) Willingness to adapt and work across different disciplines Ability to work independently and cooperatively Commitment