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West Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to work closely with collaborators to develop 2D/3D Nano-Percolation Modelling for Molecular Transport, Thin Film Integration
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and interests. Possible research directions include constructing multiscale simulation workflows and applying them to materials design, and/or developing and implementing novel machine learning
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the climate system through the development and utilisation of geospatial foundation models for clouds in the context of climate research. Successful applicants will work closely with IBM and our international
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researchers, this PhD will contribute to developing scalable bioprocessing solutions that support a more circular, climate‑positive future for biomass utilisation. Motivation The global shift toward a
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-created with industry to stay focused on real-world needs and include an industrial placement Structured training in general and specialist skills and individual development planning aligned to the Vitae
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to develop the next generation of manufacturing processes alongside our partners in Rolls-Royce. Aviation faces a dual challenge: decarbonisation and growing vulnerability in critical raw material supply
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aims to develop computational models to support the optimisation of plasma atomic layer deposition equipment. The PhD student will undertake numerical simulation, optimisation studies, and explore
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have framework laws that provide for adaptation but there are significant gaps in areas relating to financing, investment and infrastructure development. This means that there is an urgent need for more
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. Postgraduates at UEA have access to a diverse and varied professional development programme to support development of the skills that underpin high quality research, and to prepare them for their future career
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quantification and mapping of the high-dimensional correlation structure across multiple traits, quantification of trait variation that arises from new mutations, development and applications of analysis methods