Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- University of Nottingham
- Newcastle University
- Imperial College London;
- The University of Manchester
- University of Birmingham
- University of Manchester
- Harper Adams University
- University of East Anglia
- University of Surrey
- ;
- UCL
- University of Cambridge
- University of Exeter
- University of Exeter;
- University of Sheffield
- University of Warwick
- Loughborough University
- Loughborough University;
- Swansea University
- The University of Edinburgh
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of East Anglia;
- University of Oxford;
- University of Plymouth
- Abertay University
- Bangor University
- Brunel University London
- Cranfield University;
- Durham University;
- Kingston University
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Swansea University;
- The University of Edinburgh;
- University College London
- University of Bradford;
- University of Bristol
- University of Bristol;
- University of Leeds
- University of Leeds;
- University of Sheffield;
- 33 more »
- « less
-
Field
-
porous ceramic supports using desktop scale 3D printing for molten salt membranes. The advantages of these membranes include very high temperature stability, high mechanical stability and longevity
-
like MEMS, 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
-
targeting AMR gene suppression AI-driven genome design: Use LLM tools (e.g. PlasmidGPT, Evo2) to refactor plasmid genomes for enhanced manufacturability, safety, and performance Microbial validation: Test
-
residues into higher alcohols —an innovative, sustainable alternative aligned with the UK’s Jet Zero and circular bioeconomy goals. Research Objectives The project aims to identify high-performing microbial
-
integration technologies to create the next generation of smart textile and wearable systems for high performance sports (e.g., running) and rehabilitation applications (e.g., recovery monitoring
-
under the supervision of Prof. Emilio Martinez-Paneda on developing advanced computational tools to predict the nucleation and growth of cracks. The student will have access to state-of-the-art high
-
directly influence the development of high-performance demonstrators that are being developed as part of a larger project focusing on recycled composite materials funded by a UKRI Fellowship. Through this
-
. Design and operation of local integrated heat and electricity networks considering the coordinated roll-out of heat pumps and low-carbon building clusters; modelling, control, and optimisation of building
-
electricity and water to run washing machines. Improving the sustainability of these everyday processes is essential for meeting net-zero targets and reducing environmental impact. High-performance laundry
-
variables directly. This simplification makes it a promising candidate for performing quantum computational fluid dynamics, and will be the primary focus of this project. Applicants should have a 1st or high