Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; University of Warwick
- ; Manchester Metropolitan University
- University of Cambridge
- ; The University of Manchester
- ; University of Birmingham
- ; Swansea University
- ; Loughborough University
- ; University of Nottingham
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of Exeter
- ; University of Reading
- ; Cranfield University
- ; Newcastle University
- ; University of Sussex
- University of Birmingham
- University of Manchester
- ; Bangor University
- ; Durham University
- ; Edge Hill University
- ; Imperial College London
- ; King's College London
- ; UWE, Bristol
- ; University of East Anglia
- ; University of Oxford
- ; University of Plymouth
- Abertay University
- Edge Hill University
- University of Liverpool
- University of Newcastle
- University of Sheffield
- ; Anglia Ruskin University
- ; Brunel University London
- ; City St George’s, University of London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Midlands Graduate School Doctoral Training Partnership
- ; Queen's University Belfast
- ; The University of Edinburgh
- ; UCL
- ; University of Bristol
- ; University of Cambridge
- ; University of Essex
- ; University of Kent
- ; University of Leeds
- ; University of Stirling
- ; University of Strathclyde
- Brunel University
- Imperial College London
- KINGS COLLEGE LONDON
- Liverpool John Moores University
- Loughborough University
- Newcastle University
- Nottingham Trent University
- Royal College of Art
- UNIVERSITY OF VIENNA
- University of Exeter
- 50 more »
- « less
-
Field
-
strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working at the University
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
-
further information about the role, please click the 'Apply' button above. Please notice that if you have not received any news from us 1 month after the closing date you should consider
-
objectives, outline methods statement, and anticipated timeline. The proposal should use consistent academic citation. Applications not including a research proposal cannot be considered for award
-
for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science
-
not sufficiently understood. This involves complex physics at the interface of plasma physics, shock physics, material science and thermodynamics. The objective of this project is the computational
-
environmental degradation and economic strain. Existing detection methods fail to address the issue effectively, being both costly and unreliable. This project proposes an innovative solution by integrating drone
-
findings in peer-reviewed publications and at scientific conferences. Project aims and objectives This doctoral project proposes a 3-year investigation into the bidirectional influence of training and match
-
aligned with the objectives of the CCGE. These include cancer risk estimation and the investigation of the genetic and clinical epidemiology for genetically susceptible individuals. This role is ideally
-
an account with our recruitment system (if you have not already) and apply online. Please notice that if you have not received any news from us 1 month after the closing date you should consider