Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- Newcastle University
- The University of Manchester
- University of East Anglia
- University of Exeter
- University of Birmingham
- ;
- University of Exeter;
- University of Warwick
- Imperial College London;
- Loughborough University
- The University of Edinburgh
- The University of Manchester;
- University of Birmingham;
- University of East Anglia;
- University of Oxford
- University of Sheffield
- Manchester Metropolitan University;
- Swansea University
- UCL
- University of Cambridge;
- University of Cambridge
- University of Oxford;
- University of Warwick;
- Loughborough University;
- Newcastle University;
- Swansea University;
- The University of Edinburgh;
- University of Sheffield;
- Bangor University
- European Magnetism Association EMA
- Imperial College London
- University of Bristol
- University of Leeds
- University of Nottingham;
- University of Surrey
- AALTO UNIVERSITY
- Edinburgh Napier University;
- Royal College of Art
- UNIVERSITY OF VIENNA
- University of Bradford;
- University of Bristol;
- University of Glasgow
- University of Leeds;
- University of Manchester
- University of Newcastle
- University of Plymouth;
- Abertay University
- Brunel University London
- City St George’s, University of London
- Cranfield University;
- KINGS COLLEGE LONDON
- King's College London
- Lancaster University
- Liverpool John Moores University
- Manchester Metropolitan University
- Nottingham Trent University
- Oxford Brookes University
- Queen's University Belfast
- The Institute of Cancer Research
- UCL;
- University of Aberdeen
- University of Derby
- University of Glasgow;
- University of Hull
- University of Hull;
- University of Plymouth
- University of Reading
- University of Surrey;
- 60 more »
- « less
-
Field
-
Start date: 28/09/2026 Type of opportunity Fee status: UK Duration 4 years 1st Supervisor: Professor Zhugen Yang 2nd Supervisor: Dr Robert Grabowski Cranfield University is excited to invite applications for a PhD studentship focused on developing and validating innovative origami-paper eDNA...
-
computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
-
The probabilistic method is a powerful tool which has been especially influential in the fields of combinatorics and computer science. In the context of combinatorics, this method was pioneered by
-
programming skills in Python/MATLAB, and an interest in digital twin technologies, cybersecurity and machine learning. Entry Requirements Acceptable first degree: Computer Science or related disciplines
-
capabilities to match the real outcome as closely as possible. Entry Requirements Acceptable first degree - Computer Science, Engineering, Physics or Mathematics. The standard minimum entry requirement is 2:1
-
computing and the use of GPU clusters. Entry Requirements Acceptable first degree - Computer Science/Physics/Maths The standard minimum entry requirement is 2:1. First class in bachelor degree or a master
-
computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
-
Number of Positions: 1 Eligibility: UK Only Funding: School of Computer Science Scholarship, in support of the EPSRC Grant: Mixed precision in Krylov Methods, providing the award of full academic
-
The development of sustainable and efficient powertrain systems is central to achieving global decarbonisation targets in transport. Professor Xu has long-standing expertise in internal combustion engines, alternative fuels, combustion optimisation, and powertrain control. As the automotive...
-
Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview Autonomous vehicles are poised to re-define our future mobility. However, full autonomy is not possible without all-weather...