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date of this studentship is 01 October 2025 The closing date for applications is 13 July 2025. Studentship Details This is an exciting opportunity to conduct a funded full-time PhD on peer support for
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background, we welcome applicants from other relevant disciplines, including psychology, sociology, criminology, law, and computer science. This PhD studentship is fully funded for up to 3.5 years with a tax
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should complete the University’s Apply to Newcastle Portal - https://applyto.newcastle.ac.uk/ . Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of
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relevant equipment and travel. Application Information Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: https://postgraduate.degrees.ed.ac.uk
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
Overview: Cranfield University invites applications for a fully funded 3-year PhD, supported by the EPSRC DTP and Rolls-Royce. This studentship covers tuition, a tax-free stipend, funding
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Applications are invited from UK students for a three-year PhD studentship funded by the NIHR Nottingham Biomedical Research Centre, School of Medicine. The PhD project is clinically focused towards
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(Applications) through reliable quantum advantage assessment. Project Description The project addresses the critical need for reliable, scalable verification and benchmarking schemes in quantum computing. Current
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supporting materials required for the programme (including references) and payment must be submitted by the appropriate studentship deadline. To access the application form and application guide please visit
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months at Cranfield University (UK) and the last 18 months at ESTACA (France). Eligibility: UK Duration: 3 years Supervisors: Dr Karthik Depuru-Mohan Entry Requirement: Applicants should have a UK first
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fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme! How does it work? Candidates will study for a four year, full time funded PhD