Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; University of Birmingham
- ; Newcastle University
- ; The University of Manchester
- ; University of Nottingham
- ; The University of Edinburgh
- ; University of Exeter
- ; Cranfield University
- ; Edge Hill University
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- ; University of Warwick
- Abertay University
- ; Loughborough University
- ; University of Bristol
- ; University of Leeds
- ; University of Oxford
- University of Cambridge
- ; City St George’s, University of London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Lancaster University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Queen's University Belfast
- ; University of Bradford
- ; University of East Anglia
- ; University of Gloucestershire
- ; University of Plymouth
- ; University of Stirling
- ; University of Surrey
- Edge Hill University
- 24 more »
- « less
-
Field
-
sequences, analyse those data using Bayesian, Maximum Likelihood and coalescence approaches, and build matrices of geolocation and morphological data. The work will be alongside others working on related
-
manufacturing (CfAM) and advanced bio-printing (Additive BioFabrication Laboratory), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with
-
(Additive BioFabrication Laboratory), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand
-
Laboratory), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
unstructured maintenance records using LLMs, ontologies, and knowledge graphs. Build a standards-aligned semantic framework for interoperability and scalability. Model degradation over time using temporal
-
honours honours degree in a computing, cybersecurity, ethical hacking (or equivalent), or a closely aligned discipline. We are looking for an independent, enthusiastic, and driven candidate with
-
-class honours honours degree in a computing, cybersecurity, ethical hacking (or equivalent), or a closely aligned discipline. We are seeking an independent, enthusiastic, and driven candidate with a
-
honours degree in a computing, cybersecurity, ethical hacking (or equivalent), or a closely aligned discipline. We are looking for an independent, enthusiastic, and driven candidate with an understanding
-
enhance system reliability and safety, aligning with the UK’s NetZero targets. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess
-
for investigating failure mechanisms in CFRP sleeves. Your contribution will help prevent catastrophic magnet detachment and significantly enhance system reliability and safety, aligning with the UK’s NetZero targets