Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- University of Nottingham
- ;
- University of Manchester
- ; University of Birmingham
- ; University of Nottingham
- Harper Adams University
- ; The University of Manchester
- ; University of Southampton
- University of Sheffield
- ; Brunel University London
- ; Cranfield University
- ; Swansea University
- ; The University of Edinburgh
- ; University of Leeds
- University of Bristol
- ; Aston University
- ; Loughborough University
- ; University of Bristol
- ; University of Oxford
- ; University of Reading
- ; University of Surrey
- ; University of Warwick
- Abertay University
- Newcastle University
- Swansea University
- The University of Manchester
- University of Birmingham
- University of Warwick
- 19 more »
- « less
-
Field
-
-value reinforcements in their short and randomly aligned form. A key challenge to the effective reintegration of recycled carbon and glass fibres into high-performance products lies in achieving scalable
-
these, and then determine their imaging performance in bespoke optical systems in the visible light range. Applicants should have, or be expected to gain, a high (1st or 2:1) honours degree in Physics or Electrical
-
computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
-
: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
-
required to have high performance, vacuum-based, insulation and integrate equipment capable of surviving this challenging environment. This adds weight and is one of the big challenges for aircraft
-
state-of-the-art high heat flux testing, simulating the extreme environments of fusion reactors. Harness advanced computational tools to model complex particle-material interactions and predict material
-
, with minimal computational cost. By developing an advanced reduced order modelling framework, this project will empower engineers and designers to achieve more with less—delivering high-impact decisions
-
thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
-
transport, high-performance mechanical seals are essential. These seals prevent gas leakage by maintaining a sub-micron-thin layer of hydrogen between a rotating ceramic face and a stationary face. The
-
operating filters. Quantify operational performance including headloss recovery, filtrate turbidity, biological stability and lifecycle carbon—using high-resolution sensor data and life-cycle assessment tools