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significantly lower than that. Smart meter technology enables, potentially, a good understanding of domestic heat demand. However, these demand profiles are influenced by the technology of heat delivery, which is
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needs. While muscle imaging from well-characterised patients and transcriptomic technologies provide rich data, these remain under-utilised for predictive modelling. Using machine learning, this project
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we study, work, and think. Models such as ChatGPT have the potential to free individuals from the intricate and labour-intensive processes involved in writing and coding. Developing system software
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) their undergraduate degree in physics, engineering or chemistry (preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research
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-efficient processes for fabricating high-performance composite materials, supporting lightweighting and sustainability targets in key sectors such as aerospace, automotive, and renewable energy. The project
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-based structural integrity model, validated using synchrotron X-ray microtomography and phase contrast imaging, to predict the lifetime of UK’s advanced gas-cooled reactors fuel cladding in storage
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of generative models by introducing a training regime inspired by the Thinking, Fast and Slow paradigm. Recently, the use of RL has been shown to significantly improve the performance of LLMs. The goal
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funding is available to students undertaking study in: Accounting and Finance Business and Management Science, Technology and Innovation Policy Academic requirements You must meet the minimum academic
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intake on the supersonic combustion processes and efficiency. Explore strategies to design the supersonic intake structure to be “self-healing” rather than “self-destructive” Eligibility Students recruited
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marine and continental processes. However, direct in situ measurements of the processes responsible for methane removal remain sparse. The chemical environment here is shaped by a diverse mix of Saharan