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- 23:59 (UTC) Type of Contract To be defined Job Status Full-time Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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practical solutions for safer participation. Projects may be supervised or co-supervised by experts from Engineering Science and the Medical Sciences Division. Potential Supervisors: Prof. Thomas Okell, Prof
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subset of serotypes. Consequently, through a process called ‘serotype replacement’ previously infrequent serotypes have expanded in prevalence to become those most observed. Consequently, even in countries
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, B.S.Murray@food.leeds.ac.uk Project summary This fully funded PhD place provides an exciting opportunity to pursue postgraduate research in a range of fields relating to Surfactant Science and the Physical
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Prof. M. Fernando Gonzalez-Zalba, a multidisciplinary and dynamic research team passionate about building a scalable quantum computer based on silicon technology. Moreover, the PhD will have a strong
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Funder: EPSRC and Rolls-Royce Duration: 3.5 years from 1 October 2026 Supervisors: Prof Howard Stone Location: The PhD studentship will be based at the University of Cambridge in the Department
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processing. The position is within the Cosys-Lab research group, under supervision of prof. Jan Steckel and prof. Walter Daems. Position You will work actively on the preparation and defence of a PhD thesis
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date: August 2026 at latest The students will be enrolled in the structured PhD programme at the LMU Ph.D. Medical Research - Faculty of Medicine - LMU Munich This position is part of 19 PhD Fellowships
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:8209F Select ‘PhD Water Infrastructure & Resilience (WIRe)' as the programme of study You will then need to provide the following information in the ‘Further Questions’ section: a ‘Personal Statement