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, including oxidation, complicating the interpretation of data. Therefore, a test method in which creep strain is developed without changing the cross-sectional area, is needed. This PhD proposal seeks
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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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their performance relative to current pragmatic industrial approaches. The successful candidate will spend at least 3 months during the PhD based within Siemens Digital Industry Software, receiving joint supervision
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Start date: 1st October 2026 The University of Nottingham is seeking an outstanding and highly motivated candidate for a fully funded PhD studentship focused on the development of next‑generation
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Dr Luisa Ciano, Dr Anca Pordea and Dr Rob Holland Application deadline: 07/04/2026 Starting date: Oct 2026 Funded PhD project (UK students only) Vision We are looking for a highly motivated PhD
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Starting date: Oct 2026 Funded PhD project (UK students only) Vision We are looking for a highly motivated PhD researcher to join a multidisciplinary project developing environmentally friendly
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electromagnetic, mechanical and thermal performance is yet to be developed. The project will motivate the PhD student to revolutionise electrical machine design and development based on programmable 3D electrical
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Supervisors: Dr Yaoyao Zheng , Prof. Hao Liu , Dr Omid Saghafifar (Remedium ) Programme Length: Four years Prospective Start Date: October 2026 Net2 Zero Centre for Doctoral Training The EPSRC and BBSRC Centre for Doctoral Training in Negative Emission Technologies for Net Zero (CDT in Net2Zero)...
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Thermally Sprayed Coatings for ablation and high heat flux conditions Background UK applicants are invited to undertake a 3-4 year, fully-funded PhD studentship (fees and enhanced stipend) within