335 programming-language-"St"-"Washington-University-in-St"-"St" PhD positions in United Kingdom
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Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The
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Rolls-Royce University Technology Centre (UTC) in manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership
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very good in teamwork in an interdisciplinary collaboration setting very good English skills What we offer By working in our group, you would get the possibility to join a top-notch research environment
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the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a
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to completion of the PhD programme. The DTP will reserve up to 3 ring-fenced scholarships for home students from certain Black, Asian & Minority Ethnic groups. The eligibility criteria for these ring-fenced
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Fees for 4 years (Full time), £12,000 stipend for 3 years We are pleased to invite applications for a funded PhD studentship exploring how a curated Arts Public Programme can address pressing issues
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expertise or additional resource for a project.) You will contribute to a programme of research, funded by the Horne Family Charitable Trust, which aims to increase the evidence base on Domestic Violence and
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much encouraged and should be directed to Dr Catarina Rendeiro (c.rendeiro@bham.ac.uk ) To apply, click the 'Apply' button above. Apply to programme 0355 PhD Sport & Exercise FT and select ‘Dr Catarina
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). You may upload a cover letter/CV outlining your relevant interests and experience. Please upload degree transcripts/certificates and, if applicable, English language qualification. Contact Details
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast