Sort by
Refine Your Search
-
Listed
-
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
- ; Cranfield University
- ; University of Surrey
- ; 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 Reading
- ; University of Sheffield
- Abertay University
- Edge Hill University
- Harper Adams University
- Newcastle University
- University of Cambridge
- University of Exeter
- University of Sheffield
- 25 more »
- « less
-
Field
-
Project advert There is a shortage of high-quality data relating to the acute responses to training and competition in elite match officials. Consequently, recovery strategies, and training
-
Flooding stands as the most prevalent natural hazard. However, whilst substantial research effort has been reported in the last decade to develop high-performance physics-based models for more
-
is to develop a highly innovative ‘Lab on a Bench (LoB)’ setup, integrated with Machine Learning algorithm, as a high throughput method for screening and developing formulated products that are used in
-
Short overview of PhD opportunity The PhD studentship aims at studying and developing more comprehensive user interfaces for computer-aided decision-making processes, which can benefit from 3D/360
-
. Additionally, Dr. Ferla will provide access to high-performance computing resources and training in molecular modelling. Dr. Hartsuiker will support the cell-based biological assays, in the well-equipped labs
-
operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
-
industry's standard titanium alloy due to its strong balance of properties and low density. However, future aerospace designs demand materials with enhanced performance. Recent research suggests that reducing
-
metamaterials experience high localized shear stress, leading to their rapid wear and reduced performance over time, particularly under cyclic loading conditions. In the case of 3DFMMs, energy dissipation
-
algorithms, have excelled in tasks like computer vision, image recognition and large language models (LLM). However, their reliance on extensive computational resources results in excessively high energy
-
repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics