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language, a copy of your English language qualification if completed must be uploaded. Contact Details For further details, please contact: Professor John Sayer Translational and Clinical Research Institute
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need: Two-page CV Names and contact details of two referees (one must be academic). In place of a Research Proposal on the Lancaster University application, you may submit a copy of this advertisement
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. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page
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covering letter/CV, stating how your interests and experience relate to the project. Degree transcripts/certificates and, if English is not your first language, a copy of your English language qualification
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but not mandatory). A strong interest in materials simulation, quantum materials, and condensed matter physics. Experience with Python. Fluency in English is required. Finnish language is not required
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information or questions about this PhD please contact nicola.love@ukhsa.gov.uk . To be considered for this PhD please send a copy of your CV and a personal statement up to 500 words explaining your suitability
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the online application and attach a copy of your CV and a covering letter. The cover letter should note how you meet the below person specification. The Person Knowledge, Skills and Experience Experience in
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and heat transfer in geothermal systems under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
at scale? Digital twins offer a promising foundation, but to truly support engineering decisions, they need to go beyond simulation and begin to interpret and reason about the systems they represent
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in device behaviour will be explored to minimize false positives Scalability and Real-world Deployment: This research project will address the scalability of the proposed detection system to handle a