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 Nottingham
- ; University of Southampton
- University of Cambridge
- University of Newcastle
- ; Cranfield University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Reading
- ; Brunel University London
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Surrey
- Harper Adams University
- Imperial College London
- University of Manchester
- ; Edge Hill University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Oxford
- ; University of Sussex
- Abertay University
- Brunel University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Sheffield
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; King's College London
- ; Lancaster University
- ; 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 Plymouth
- ; University of Sheffield
- ; University of Stirling
- ; University of Strathclyde
- Durham University
- KINGS COLLEGE LONDON
- Nottingham Trent University
- UNIVERSITY OF MELBOURNE
- University of Glasgow
- University of Liverpool
- University of Oxford
- 47 more »
- « less
-
Field
-
impurities and scrap-blends on the corrosion performance of alloys evaluated through different corrosion tests supported by advanced characterisation techniques. The objectives are as follows: To evaluate
-
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
-
essential. Project Details This PhD research aims to elevate wind turbine blade technology by advancing owl-wing and other bio-inspired designs for noise reduction and aerodynamic efficiency. Key objectives
-
infectious disease epidemiology and mathematical modelling in Biology and Medicine. Experience in parameter estimation, knowledge of Bayesian methods and computer programming skills would be an advantage. Good
-
development. Objectives: Create realistic pollutant exposure samples representing indoor and outdoor pollutant (mixtures) using an established model of the human alveolar epithelial barrier. Apply multi-omic
-
to machine learning and deep neural networks, into the DG finite element solver to reduce computational costs while maintaining the accuracy. The key objective of this work will be to provide step-change
-
the risk of missed defects. Using the power of Artificial Intelligence (AI), this research aims to: Automate defect detection in complex 3D structural data Enhance diagnostic accuracy and processing speed
-
(contributing approximately 50%), advancements in aircraft technology (30%), and operational improvements (20%) – together supporting the industry's 2050 carbon-neutral growth objectives. Broadly, this project
-
enrolled into the Teachers’ Pension Scheme (TPS) – one of the largest and most generous defined benefit pension schemes in the country. Find out more about the TPS . If you are, or have been, a recent member
-
managed to allow for efficient solar energy harvesting. This project will deliver novel methods for modelling and controlling LGS structural dynamics in the extreme orbital environment. The objectives