Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; University of Birmingham
- ; Loughborough University
- University of Manchester
- ; University of Nottingham
- ; Swansea University
- ; University of Bristol
- ; University of Leeds
- ; University of Southampton
- ; University of Warwick
- AALTO UNIVERSITY
- University of Birmingham
- University of Cambridge
- ; Cranfield University
- ; University of Surrey
- ; University of Sussex
- Newcastle University
- University of Newcastle
- ; Anglia Ruskin University
- ; Bangor University
- ; Brunel University London
- ; Newcastle University
- ; Queen Mary University of London
- ; The University of Edinburgh
- ; University of Cambridge
- ; University of East Anglia
- ; University of Exeter
- ; University of Hertfordshire
- ; University of Plymouth
- ; University of Sheffield
- Abertay University
- Harper Adams University
- University of Exeter
- University of Glasgow
- University of Leicester
- University of Liverpool
- University of Sheffield
- 30 more »
- « less
-
Field
-
to study corrosion, cracking and mechanical degradation, develop advanced computational models using modern C++ and high-performance computing to simulate material behaviour over a 100+ year timespan. This
-
and high-incidence operation. Using cutting-edge experimental data and high-fidelity unsteady CFD simulations, your research will enhance the understanding of flow physics, reduce risk in future designs
-
alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
-
Applications are invited to undertake a 3.5 year PhD programme to explore new laser surface engineering methods for functionalising the electrochemical performance of solid-state batteries. In
-
to address the problem is to recruit a high performing PhD student to embark on a psycho-biological, mixed-methods programme of research that has the following aim: Develop a feasible, acceptable, efficacious
-
This forward-looking PhD project merges performance science with advanced data analytics and machine learning to further enhance performance prediction in elite rugby union. The successful candidate
-
testing, enhancing both computational and experimental skills. Additionally, the possibility of contributing to cutting-edge research in a high-impact field means that the student will be part of a
-
-efficient processes for fabricating high-performance composite materials, supporting lightweighting and sustainability targets in key sectors such as aerospace, automotive, and renewable energy. The project
-
marine situational awareness but their capabilities and their performance limits are yet to be explored. Such capabilities include: Smaller form factors: Thus enabling the deployment of Unmanned Aerial
-
project is to harness the latest developments in high-performance computing and deep learning (DL) technologies to address some of the key technical challenges, and finally demonstrate a DL-enabled system