Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- University of Cambridge
- ; University of Birmingham
- ; University of Nottingham
- ; University of Southampton
- ; Swansea University
- ; University of Warwick
- ; Loughborough University
- ; University of Exeter
- ; University of Oxford
- ; Newcastle University
- ; University of Bristol
- ; University of Reading
- University of Manchester
- University of Sheffield
- ; University of Surrey
- ; University of Sussex
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Sheffield
- AALTO UNIVERSITY
- Harper Adams University
- ; Brunel University London
- ; City St George’s, University of London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Leeds
- ; Aston University
- ; Durham University
- ; Lancaster University
- ; Manchester Metropolitan University
- ; University of Cambridge
- ; University of Plymouth
- ; University of Strathclyde
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Newcastle
- University of Oxford
- ; Coventry University Group
- ; Edge Hill University
- ; Imperial College London
- ; King's College London
- ; Queen Mary University of London
- ; St George's, University of London
- ; The Open University
- ; University of Bradford
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Hull
- ; University of Portsmouth
- ; University of Stirling
- Abertay University
- Edge Hill University
- KINGS COLLEGE LONDON
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF SURREY
- University of East London
- University of Liverpool
- University of Warwick
- 52 more »
- « less
-
Field
-
used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
-
’. Warwick University is renowned for its high-quality research and a thriving PhD program. This strong research culture enhances both the PhD student’s experience and the demand for our graduates. This PhD
-
fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
-
3-year PhD studentship: Scaling-Up Functional 3D Printing of Devices and Structures Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD
-
Applications are invited for a PhD project within the Faculty of Engineering, in the Centre for Additive Manufacturing research group (CfAM) at the University of Nottingham. The student will work in
-
candidates with: • Relevant subject matter experience at required level (e.g. 2.1 or above undergraduate degree in physics, mathematics or computer science) • Willingness to adapt and work across different
-
). The student will work in world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, biotechnology, physics, and materials science. PhD project description
-
This 4-year PhD programme is fully funded for home students; the successful candidates will receive a tax free stipend based on the UKVI rate (£20,780 for 2025/26) and tuition fees will be paid
-
use this formalisation to encode our STV algorithm on encrypted ballots. This approach aims to ensure both the correctness and privacy of the tallying process, paving the way for verifiable and secure
-
Project summary: A PhD student is sought to undertake a project jointly funded by University of Strathclyde and National Manufacturing Institute Scotland project. The project aims at researching a