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). Secondly, impurity seeding of plasma to improve performance will further degrade component erosion/redeposition issues. Thirdly, this is critically tied to very high temperature operations (>800 C and upto
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Course: PhD studentship Project title: Exploring a One Welfare approach to human-animal-computer interaction in digital dairy technologies Principal supervisor: Charlotte Doidge Other supervisors
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influence the flow of thermal energy, generating clean electricity from waste heat, building advanced batteries that bring us closer to realising a truly sustainable green energy network, then this
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering which conducts cutting edge research into high value product extraction from UK seaweeds
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through a One Welfare and human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate
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About the Project An exciting PhD project on the effects of heat transfer of transitional compressible boundary layers will be carried out under the UK Hypersonics Doctoral Network, which has been
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computer science. We welcome applications from candidates with a passion for high-performance sport, education and experience in any/all of the above, and a willingness to extend their skills in, and
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for fusion components. This framework foresees two building blocks: high-fidelity Computational Fluid Dynamics (CFD) simulations of boiling flows within complex geometry using opensource software and cutting
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the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to cutting-edge facilities including High-velocity impact testing, Advanced composite manufacturing labs, X-ray computed tomography and High-performance computing resources for AI model training This project