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to develop and validate paediatric bone models through a combined computational and experimental approach, in collaboration with clinical partners at the Sheffield Children’s Hospital. The ideal candidate will
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Eissa Application Deadline: Applications accepted all year round Details Artificial Intelligence (AI) is transforming healthcare by enabling data-driven decision-making and predictive modelling. Engineers
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Neuro-Symbolic Methods for Explanation-Based Reasoning with Large Language Models School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Marco Valentino, Prof Nikos
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a mixture of experimental and computation work. A current key focus of the group is development of new multiscale modelling approaches, coupled with data driven modelling techniques, to support
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personal development budget which can be used for relevant professional development activities including a residential programme at Ashorne Hill to further develop your professional skills and network. You
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Overview Are you experienced in using applied maths to model an acoustic problem and analyse data? Do you enjoy working collaboratively? This role offers an exciting opportunity to apply your
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Overview Accurate modelling of the solar atmosphere is essential for understanding the energy flow and accumulation that underpin the heating of the solar chromosphere and corona, and for uncovering
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driving through deep reinforcement learning. Computing demands can grow rapidly with such models, so a significant aspect of the research is in formulating the problem in a tractable form, and application
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different supernovae models. In addition to these analysis topics, students have the opportunity to engage with the scientific programme of work that the Sheffield group is pursuing for both the Super-K and
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lead and perform research in these areas, who will have practical experience of blast experimentation, underwater blast loading, and demonstrable computational modelling experience in a relevant area