Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- ;
- Newcastle University
- ; Swansea University
- University of Cambridge
- University of East Anglia
- University of East Anglia;
- ; The University of Edinburgh
- University of Newcastle
- University of Oxford
- University of Sheffield
- ; City St George’s, University of London
- ; University of Birmingham
- ; University of Exeter
- ; University of Nottingham
- ; University of Southampton
- KINGS COLLEGE LONDON
- The University of Manchester
- The University of Manchester;
- University of Exeter;
- University of Glasgow
- University of Warwick
- University of Warwick;
- ; Manchester Metropolitan University
- ; Newcastle University
- ; The University of Manchester
- ; University of Bristol
- ; University of Warwick
- AALTO UNIVERSITY
- Abertay University
- Bangor University
- British Association for Counselling and Psychotherapy;
- Brunel University
- College of Chemistry and Molecular Engineering, Peking University
- Coventry University Group;
- Durham University
- Durham University;
- Imperial College London
- King's College London
- Newcastle University;
- Oxford Brookes University
- Queen Mary University of London
- Swansea University
- The Francis Crick Institute;
- The University of Edinburgh
- The University of Edinburgh;
- University of Birmingham
- University of Cambridge;
- University of Exeter
- University of Leeds
- University of Leeds;
- University of Surrey
- University of Sussex;
- 44 more »
- « less
-
Field
-
magnification and error accumulation by closing the feedback loop of conventional 3DP systems. The candidate will test the developed technologies across multiple application scenarios, including large-scale
-
. This exciting project will focus on designing, constructing, and testing synthetic cells with multiple sub-compartments. Just like their living counterparts (i.e. eukaryotic cells), synthetic cells with different
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
the University of Nottingham. This project aligns with Rolls-Royce’s technical needs to develop automated and hybrid tooling solutions for in-situ/on-wing repair and maintenance of gas turbine engines
-
previous experience of successful partnership working with multiple stakeholders, alongside academic research experience, is essential. Details of funding The successful applicant will: Be awarded an annual
-
good partnership with the appropriate technical teams. Joint academic and industrial supervision. In this way, the student will develop both academic and industrial skills with multiple career
-
appropriate technical teams. Joint academic and industrial supervision. In this way, the student will develop both academic and industrial skills with multiple career opportunities at the end of the PhD study
-
powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
-
key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which