Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Warwick
- University of Cambridge
- ; Cranfield University
- ; Manchester Metropolitan University
- ; University of Nottingham
- ; University of Southampton
- ; Newcastle University
- ; University of Reading
- University of Newcastle
- ; Brunel University London
- ; Loughborough University
- ; University of Exeter
- Harper Adams University
- UNIVERSITY OF VIENNA
- University of Liverpool
- University of Manchester
- ; City St George’s, University of London
- ; Edge Hill University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Oxford
- ; University of Sheffield
- ; University of Sussex
- Abertay University
- Brunel University
- Imperial College London
- ; Bangor University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; King's College London
- ; Lancaster University
- ; Queen's University Belfast
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Hull
- ; University of Kent
- ; University of Leeds
- ; University of Stirling
- ; University of Strathclyde
- ; University of Surrey
- Durham University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Nottingham Trent University
- University of Oxford
- University of Sheffield
- 47 more »
- « less
-
Field
-
discover therapeutic targets relevant to Welsh populations. You’ll also help translate your computational insights into lab-based validation using experimental models, paving the way for new diagnostics and
-
system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
-
computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
-
. The project delves into areas such as hardware-based security measures, tamper detection, and the integration of explainable AI models within embedded platforms. Situated within the esteemed IVHM Centre and
-
Language Model, or Artificial Intelligence be used? The impact of this research will be to enable practitioners and the stakeholders of systems models to make objective assessment of model qualities using
-
interview system for university admissions. This project aims to improve the fairness, efficiency, and objectivity of student selection by reducing bias and subjectivity inherent in traditional interviews
-
establishing an understanding of "what normal looks like", these models will detect deviations from the norm and effectively identify potential anomalies during testing. You will explore both self-supervised
-
aims and objectives are met. Working closely with the supervisory team, develop and plan research objectives. Present information on research progress and outcomes to, for example, project lead, funding
-
This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
-
for constraining the spin of the compact object being lensed which will involve both theoretical and computational modelling. If you wish to discuss any details of the project informally, please contact: Prof