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by ATi/Innovate UK and Rolls Royce and is fixed-term to June 2029. You will join a world‑leading programme advancing experimental and numerical methods to predict the impact performance of composite
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imaging data, preferably using Python, and hands-on experience building bespoke laboratory setups for imaging experiments investigating alloy composition or relevant applications. You will have a strong
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) from Tanzania, working closely with colleagues at the University of Dar es Salaam. Returned samples will be analysed by the postholder for their noble gas isotopic composition and trace gas abundance
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thin-films, and identify how manipulating these affect the nanoscale chemical and structural composition of perovskite thin-films. Through gaining understanding and control of these systems from