Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- University of Cambridge
- ; University of Birmingham
- ; Swansea University
- ; University of Nottingham
- ; University of Warwick
- ; Newcastle University
- ; University of Reading
- ; University of Southampton
- University of Sheffield
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Surrey
- University of Oxford
- ; Cranfield University
- University of Manchester
- ; University of Leeds
- Imperial College London
- ; University of Exeter
- ; University of Sheffield
- ; Brunel University London
- ; City St George’s, University of London
- ; University of Cambridge
- ; University of Sussex
- UNIVERSITY OF VIENNA
- University of Newcastle
- ; Aston University
- ; King's College London
- ; University of Bristol
- ; University of Strathclyde
- AALTO UNIVERSITY
- Harper Adams University
- University of Liverpool
- ; Edge Hill University
- ; Manchester Metropolitan University
- ; University of Bradford
- ; University of East Anglia
- Abertay University
- Heriot Watt University
- ; Coventry University Group
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Lancaster University
- ; University of Greenwich
- ; University of Oxford
- ; University of Plymouth
- Brunel University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- ; Durham University
- ; Imperial College London
- ; London South Bank University
- ; Queen's University Belfast
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Portsmouth
- ; University of Stirling
- Aston University
- Durham University
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of East London
- University of Leicester
- University of Warwick
- 59 more »
- « less
-
Field
-
used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
-
sensor spoofing. These attacks manipulate input data while maintaining apparent operational normality, potentially leading to unsafe decisions without detection. This project aims to develop a novel
-
treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
-
. The start date is October 2025. Are you passionate about applying computational science to real-world engineering problems? Do you want to develop digital twins of materials that can predict performance and
-
, introduces human error, and creates line-of-sight occlusions, disrupting surgical workflow. This interdisciplinary project aims to overcome these challenges by developing a vision-based marker-less navigation
-
This PhD studentship is a part of Rolls-Royce sponsored research centre developing advanced control systems to enhance the performance and efficiency of new aerospace propulsion systems. We apply a
-
critical steps of gastrulation and early development. Creating iPSC lines with mutations in elements of the GAG biosynthetic machinery. Applying novel GAG analytical technologies to investigate how changes
-
ambitious new project on the safe deployment of medical imaging AI. The purpose of the role is to conduct world-leading research on AI for medical imaging. The goal is to develop methodologies and
-
communications hinders traditional deep packet inspection for malware detection. This research aims to develop lightweight, behaviour-based anomaly detection systems. These systems will identify malicious activity
-
(i.e. red agents). However, due to a fragmented market, rapid technical developments, and nascent research the extent of capabilities and optimal solution architectures are not well understood. Current