Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- University of Cambridge
- University of Sheffield
- ; University of Nottingham
- ; University of Exeter
- ; University of Surrey
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Southampton
- ; University of Warwick
- ; City St George’s, University of London
- ; Cranfield University
- ; Loughborough University
- ; University of Oxford
- AALTO UNIVERSITY
- University of Newcastle
- ; University of Bristol
- ; University of Sheffield
- Imperial College London
- Newcastle University
- The University of Manchester
- University of Oxford
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Leeds
- Abertay University
- University of Bristol
- ; Lancaster University
- ; University of Cambridge
- ; University of East Anglia
- ; University of Plymouth
- ; University of Strathclyde
- Harper Adams University
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Edge Hill University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Greenwich
- ; University of Huddersfield
- ; University of Reading
- Aston University
- Heriot Watt University
- Heriot-Watt University;
- Manchester Metropolitan University;
- Oxford Brookes University
- Swansea University
- The University of Manchester;
- UCL
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Birmingham;
- University of Cambridge;
- University of Glasgow
- University of Greenwich
- University of Hertfordshire
- University of Liverpool
- University of London
- University of Manchester
- University of Nottingham;
- University of Warwick
- 60 more »
- « less
-
Field
-
heavier than their fossil fuel powered counterparts. A framework that can accurately model complex dynamics and generate projections for future scenarios is essential for understanding the impact of changes
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
-
project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
-
The Project: Are you passionate about materials science, numerical modelling and materials characterisation techniques? Do you want to work on cutting-edge research that will directly impact nuclear
-
REACTOR DESIGNS FOR THE SUSTAINABLE PRODUCTION OF LIGNIN-DERIVED END-PRODUCTS VIA DEPOLYMERISATION REACTIONS This exciting opportunity is based within the Advanced Materials Research Group
-
and accuracy, ultimately saving lives. This collaborative PhD project aims to develop and evaluate advanced deep learning models for speech and audio analysis to predict Category 1 emergencies
-
of the particle fuel, crack initiation/propagation and failure mechanisms in relation to test temperature. Finite element (FE) modelling using FE tools such as Abaqus, (or) Ansys, (or) COMSOL is optional
-
) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
-
Department: Materials Title: Self assembled non-close packed quantum dot superlattices via high entropy approaches Application deadline: 17/06/2025 Research theme: Nano and Functional Materials How