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complex metal structures. This opportunity is centred around improving manufacturing productivity with advanced laser-matter interactions control and optimisation. The PhD will advance our comprehension
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Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported for 3 years and includes full Home tuition fees plus a stipend of £19,215 per annum 2025
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of unmodified and modified polymers. If the later, then the overall non- biodegradable component would not be eliminated but would be reduced. 'Smart substitutions'. This explores the possibility that chemical
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Applications are invited for a fully funded fixed-term position at the Research Associate (PostDoc) level in de-risking cirrus modification. Cirrus cloud modification (CCM) could in-theory mitigate
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mechanics, corrosion, multiphysics modeling and microstructural characterisation. The candidate must be enthusiastic about working as part of a team and collaborating with national research facilities and
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approaches, including principal component analysis and machine learning, to handle multivariate datasets. Prior experience in data science is not essential; the successful candidate will be supported through
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performance of nuclear power plants. By characterizing CRUD layers through microstructural, compositional, and topographical analyses, the research endeavors to advance knowledge in the field, offering critical
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Matlab, Python and C/C++ are preferred. Strong interpersonal skills and the capacity to work and learn independently will be required. English Language IELTS 6.0 Overall (with no individual component below
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catalysts. This EPSRC-funded project leverages cutting-edge X-ray spectroscopy to unlock how alkali elements can be harnessed to create powerful heterogeneous catalysts for CO₂ and hydrogen technologies. By
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MATLAB/Python/R etc Previous research experience with healthcare datasets or electronic health records English Language IELTS 6.5 Overall (with no individual component below 6.5) or Swansea University