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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
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Department: School of Computer Science Details of Studentship: Fully Funded PhD Studentships Applications are invited from Home and International students for a number of fully-funded PhD
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substantial background in fluid mechanics. Essential skills: Strong knowledge of numerical methods Ability to work effectively in a team Desirable skills / experience: Experience of applying CFD to a complex
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facilities. A popular method of doing so is to create vast battery storage facilities which require incredible sums of upfront capital and rely on lithium, one of (if not) the most intensively mined resources
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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learning. The project involves the application of innovative methods such as high-throughput experimentation to expediate the syntheses of life-saving pharmaceuticals – all from sustainable waste streams
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network performance. Resilience evaluation will consist of proposing a method for the best use of resource allocation, which will make water networks robust and resilient to these threats. Summary: Open to
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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delivery or regenerative medicine. The student will formulate new 3D-printable materials and develop new design methods, for functional 4D-printed devices with either fast self-resetting responses or complex
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ultrasound. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of medical micro-robots targeting drug delivery, exploiting combinations of functions