Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- University of Nottingham
- Cranfield University
- University of Cambridge
- ; Swansea University
- ; University of Birmingham
- ; The University of Manchester
- University of Manchester
- ; University of Nottingham
- ; University of Warwick
- ; Newcastle University
- ; University of Reading
- ; University of Southampton
- ; Loughborough University
- ; Cranfield University
- University of Sheffield
- Harper Adams University
- University of Oxford
- ; University of Surrey
- ; University of Bristol
- Imperial College London
- ; The University of Edinburgh
- ; University of Cambridge
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Newcastle
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Exeter
- University of Liverpool
- ; City St George’s, University of London
- ; Edge Hill University
- ; King's College London
- ; Manchester Metropolitan University
- ; University of Bradford
- ; University of East Anglia
- ; University of Leeds
- ; University of Oxford
- ; University of Plymouth
- ; University of Sussex
- Abertay University
- Heriot Watt University
- ; Imperial College London
- ; Lancaster University
- ; UWE, Bristol
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Sheffield
- Brunel University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of East London
- ; Aston University
- ; Durham University
- ; St George's, University of London
- ; The Open University
- ; UCL
- ; University of Copenhagen
- ; University of East London
- ; University of Hull
- ; University of Kent
- ; University of Stirling
- ; University of Strathclyde
- Aston University
- Durham University
- KINGS COLLEGE LONDON
- Newcastle University
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Leicester
- Utrecht University
- 61 more »
- « less
-
Field
-
apply: send covering letter, CV and academic transcripts by email to Geoffrey.Rivers@nottingham.ac.uk . Applications without academic transcripts will not be considered. Please refer to the project title
-
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
-
Engineering, Chemistry, or related physical sciences related discipline. To apply: send covering letter, CV and academic transcripts by email to Geoffrey.Rivers@nottingham.ac.uk . Applications without academic
-
possess or expect to obtain, a 2:1 or first-class degree in Engineering, Chemistry, or related physical sciences related discipline. To apply: send covering letter, CV and academic transcripts by email to
-
. Candidates must possess or expect to obtain, a 2:1 or first-class degree in Engineering, Chemistry, or related physical sciences related discipline. To apply: send covering letter, CV and academic transcripts
-
. Candidates must possess or expect to obtain, a 2:1 or first-class degree in Engineering, Chemistry, or related physical sciences related discipline. To apply: send covering letter, CV and academic transcripts
-
for cardiovascular applications. You will build on our group’s expertise on Physics-Informed Machine Learning (PIML), a powerful approach that combines data-driven AI with the rigour of physical and physiological
-
automated rankings. The research includes real-world validation using university admissions data and will contribute to the broader fields of AI in education and ethical decision-making. This PhD research
-
Research Office Location: Newport, Shropshire TF10 8NB Salary: As per advert Post Type: Full Time Contract Type: Fixed Term - 36 months funded Closing Date: 23.59 hours BST on Sunday 08 June 2025
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
generate vast amounts of operational and maintenance data, much of it remains fragmented and underutilized. Unlocking insights from this unstructured data could enable earlier fault detection, improved