610 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" PhD positions in United Kingdom
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Master's thesis -An interest in turbine aerodynamics, secondary flows, and real-engine flow physics -Programming and data-analysis skills (Python preferred) -Curiosity and motivation to work on complex
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interface. Number of awards: 1 Start date: September 2026 Award duration: 4 Years Sponsor: Newcastle University Supervisors: Dr Hannah Stewart Eligibility criteria You must have, or expect to gain, a minimum
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programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Dr Jelena
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global manufacturers. For details, visit the MTC website . For further information on this PhD position please contact Dr Sara Wang (Sara.Wang@nottingham.ac.uk ) Closing Date: 27th February 2026. Proposed
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Sciences Institute (PSI), part of the Nuffield Department of Medicine. Reporting to Dr Tess Johnson and working closely with the Ethics, Policy and Context Theme, you will develop and deliver an independent
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: Diagnosis, RehabilitatiOn & Prognosis). The Doctoral Researcher (DR) will join a cohort of DRs who will be working on a series of interlinked, interdisciplinary projects for sustainable, intelligent, and
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: Diagnosis, RehabilitatiOn & Prognosis). The Doctoral Researcher (DR) will join a cohort of DRs who will be working on a series of interlinked, interdisciplinary projects for sustainable, intelligent, and
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MEng degree in Electrical and Electronics Engineering or Aerospace Engineering. To apply or for further information, please contact Dr Sharmila Sumsurooah Sharmila.Sumsurooah@nottingham.ac.uk Funding
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contact Dr Muhammad Khan for an initial informal discussion about this opportunity. Please include the keyword PhD Studentship-Self Funding in the subject field. If you are eligible to apply
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turbomachinery design is increasingly the primary bottleneck. Within the next decade, this workflow will be largely replaced by data-driven inverse design models, enabled by the growing availability of high