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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
relevant field such as engineering, computer science, or applied mathematics. Experience or interest in AI, machine learning, or digital systems is beneficial. We welcome candidates from diverse backgrounds
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Project summary: A PhD student is sought to undertake a project jointly funded by University of Strathclyde and National Manufacturing Institute Scotland project. The project aims at researching a new sustainable femtosecond laser nanomanufacturing process to overcome the challenges of atomic...
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select *Loughborough* and select the programme ‘CDT Engineering Hydrogen Net Zero’. Please quote the advertised reference number *LU-EnerHy-2025-3* under the ‘Finance’ section of the application. To avoid
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be able to demonstrate their research experience through contribution to international journal or conference publications. To apply, please send your CV and detailed transcripts of all your previous
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. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security Agency (UKHSA). This is funded by NIHR as part of a
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to funding restrictions, this is opportunity is only available to those eligible for UK fees. Application information: All applications should be made online via the above ‘Apply’ button. Under programme name
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This post could be considered as a secondment opportunity. About the role The Bodleian Libraries are seeking t to appoint a researcher to join the Medieval Libraries of Great Britain project, funded
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Award Summary This is a 4-year studentship. Stipend of £18,873 (stipend may be uplifted subject to confirmation) and home fees are covered. Overview Interested in using your computational and
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degree or equivalent in Genetics/Bioinformatics/Genomics High-level computing skills desirable; MRes advantageous IELTS 6.5 overall (if applicable) International students must cover the fee difference How
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at international conferences and build a professional network across academia and industry. Development of expertise in cutting-edge experimental techniques, computational modelling, and interdisciplinary