Sort by
Refine Your Search
-
Listed
-
Category
-
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 Cambridge;
- University of Exeter
- University of Exeter;
- University of Sheffield
- University of Warwick
- AALTO UNIVERSITY
- Imperial College London
- Loughborough University
- Loughborough University;
- Swansea University
- The University of Edinburgh
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of East Anglia;
- University of Glasgow
- 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 of Bradford;
- University of Bristol
- University of Bristol;
- University of Leeds
- University of Leeds;
- University of Newcastle
- University of Oxford;
- University of Sheffield;
- 37 more »
- « less
-
Field
-
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
-
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
-
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
-
. 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
-
to develop a high-performance disposable analytical tool for the on-site detection of folic acid in several food matrices. This technology is based on our recently developed wireless and batteryless, near
-
dynamics to bridge the gap between manufacturing and aerodynamic testing, supporting the next generation of high-performance engineering. What you’ll do: Investigate the relationship between manufacturing