Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- University of Manchester
- ; University of Birmingham
- ; University of Nottingham
- ; Newcastle University
- ; University of Southampton
- ; University of Warwick
- ; Loughborough University
- ; University of Exeter
- ; University of Leeds
- ; The University of Edinburgh
- ; University of Oxford
- ; Cranfield University
- ; University of Bristol
- ; University of Surrey
- ; University of Reading
- University of Cambridge
- University of Sheffield
- ; University of Bradford
- ; University of Sussex
- ; University of Sheffield
- ; University of Strathclyde
- Harper Adams University
- UNIVERSITY OF VIENNA
- ; Brunel University London
- ; City St George’s, University of London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Edge Hill University
- ; University of Plymouth
- Abertay University
- Newcastle University
- ; Aston University
- ; Durham University
- ; Lancaster University
- ; Manchester Metropolitan University
- ; University of Greenwich
- ; University of Hertfordshire
- UNIVERSITY OF EAST LONDON
- University of East London
- University of Warwick
- ; Bangor University
- ; Coventry University Group
- ; Imperial College London
- ; King's College London
- ; London South Bank University
- ; Queen Mary University of London
- ; Queen's University Belfast
- ; Royal Northern College of Music
- ; St George's, University of London
- ; The Open University
- ; UCL
- ; UWE, Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of East London
- ; University of Essex
- ; University of Gloucestershire
- ; University of Hull
- ; University of Portsmouth
- ; University of Stirling
- ; University of York
- Edge Hill University
- University of Liverpool
- 57 more »
- « less
-
Field
-
The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence will inform future race strategy and live race tactics. Multiple factors influence the strategy...
-
humans. The successful candidate will join the new Intelligent Robotics group in the Computer Science Department in the Computational Foundry in the Faculty of Science and Engineering at Swansea University
-
need, with direct routes to translation and impact. You’ll have access to world-class computational facilities, real-world datasets, expert supervision across engineering and clinical science, and the
-
Please quote reference: Quantum Computing at The School of Physical Sciences Duration: 3 years and 6 months. We are currently recruiting for the following full-time, fully funded PhD studentship
-
Recently, many councils in Wales started using single transferable vote (STV) method for counting ballots. While counting plaintext ballots using STV method is straight forward, but a rank-based ballot may leak the voter’s preferences if published publicly in plaintext, as the ranking order can...
-
of Computational Solid Dynamics Building upon very recent work made by the supervisory team, this FULLY FUNDED 4-year PhD project will investigate challenging aspects such as: (1) exploration of a truly “n” multi
-
We are inviting applications for a fully funded 3.5-year PhD Computer Science studentship at the University of Warwick, jointly supported by GlaxoSmithKline (GSK), to work on an ambitious project
-
Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed
-
The project aims to develop a publicly accessible in silico database that identifies and catalogues bacterial genes capable of altering the effectiveness of chemotherapy drugs in colorectal cancer (CRC) patients. Focusing on microbial modification of 5-fluorouracil (5FU), the study will...
-
of Computational Solid Dynamics Building upon very recent work made by the supervisory team, this FULLY FUNDED 4-year PhD project will investigate challenging aspects such as: (1) exploration of a truly “n” multi