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students and a tax-free bursary of £25,183) PhD, sponsored by the Manchester Airports Group (MAG), aims to support airports in identifying clear requirements and phasing considerations when planning
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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This fully funded PhD studentship, supported by the EPSRC Doctoral Landscape Awards (DLA) and industrial partner Crover Ltd, offers home fees (£5,238 p.a.) and a £23,000 annual tax-free stipend
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. At a glance Application deadline01 Apr 2026 Award type(s)PhD Start date01 Jun 2026 Duration of award3 years EligibilityUK, EU, Rest of world Reference numberCRAN-0039 Entry requirements Applicants
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
We are pleased to announce a self-funded PhD opportunity for Quantitative assessment of damage in composite materials due to high velocity impacts using AI techniques. Composite materials, such as
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. At a glance Application deadline01 Apr 2026 Award type(s)PhD Start date01 Jun 2026 EligibilityUK, EU, Rest of world Reference numberSATM606 Entry requirements Applicants should have an equivalent
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This funded PhD studentship is an exciting opportunity to conduct new social-ecological research on perceptions of urban blue space. Despite often appearing to be natural systems, urban blue space
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This fully-funded PhD research opportunity, supported by EPRSC Doctoral Landscape Awards (DLA) and Cranfield offers a competitive bursary of £22,000 per annum, covering full tuition fees. This PhD
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analytical techniques and microbiology methods, and direct contribution to technology development through analytical insights. Students will gain exposure to both cutting-edge analytical research and practical
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance