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supervision from a leading expert in Rolls-Royce throughout the project. How to Apply: All applications should be made online . Under Campus, please select ‘Loughborough’ and select Programme ‘Mechanical and
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variables PhD position in small area estimation in the context of multisource data (probability and nonprobability data) The first position will be assigned to work package 1 (part B): Computing composite
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analytical electron microscopy will be will be employed in the project. This programme provides a unique opportunity to combine pioneering academic research with industrial experience. In
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programme Materials Science, Mechanical and Manufacturing Engineering, is open for appointment from 01.04.2026 or soon thereafter. The position is available for a period of 3 years. Job description The PhD
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educational development initiatives. As part of the PhD programme, the candidate will also undertake teaching responsibilities, primarily contributing to first-year engineering PBL courses and supporting
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unintended consequences. The project relies on longitudinal school network data and advanced quantitative and computational methods. WHAT YOU WILL DO Work with longitudinal classroom network and survey data
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with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the position may be filled before
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. This interdisciplinary PhD is ideal for candidates with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the
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There exists an inherent variability in how lithium-ion batteries fail – an event commonly referred to as “thermal runway”. This uncertainty drives additional cost and complexity into the design and validation methods employed for battery systems created for electric vehicles, aerospace or...
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Applications for 2026-2027 entry to the Wheeler History of Travel Writing studentship are now open. The programme seeks to attract talented researchers whose projects may focus on any period or