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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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problem-solving skills and deep expertise in the development of complex computational models. Candidates who have not yet acquired their PhD would be appointed at the Research Assistant level. The
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, and have experience of using statistical software (e.g. Stata, R), coupled with the ability to produce high quality health economics research relevant to the health sciences. The post is available part
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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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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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Research Office Location: Newport, Shropshire TF10 8NB Post Type: Full Time Contract Type: Fixed Term - 36 Months Closing Date: 23.59 hours BST on Sunday 20 July 2025 Reference: PHD-SELF-OCT-2025
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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 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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to maximize this impact throughout the PhD programme. Given a focus on body weight and strategies to reduce this, with consideration for sustainability and current consumer preferences for naturalness