Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- ; Swansea University
- University of Nottingham
- ; University of Birmingham
- University of Cambridge
- ; University of Warwick
- ; University of Nottingham
- ; Newcastle University
- ; University of Southampton
- University of Sheffield
- ; Cranfield University
- ; University of Exeter
- University of Manchester
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Oxford
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Sheffield
- ; University of Surrey
- ; Brunel University London
- ; University of Leeds
- Imperial College London
- ; Edge Hill University
- ; University of Strathclyde
- ; University of Sussex
- Harper Adams University
- University of Newcastle
- University of Oxford
- ; Aston University
- ; Coventry University Group
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Lancaster University
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Reading
- AALTO UNIVERSITY
- Abertay University
- UNIVERSITY OF VIENNA
- University of Liverpool
- ; Bangor University
- ; Durham University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Royal Northern College of Music
- ; St George's, University of London
- ; University of Bradford
- ; University of Hertfordshire
- ; University of Plymouth
- ; University of Portsmouth
- Aston University
- Heriot Watt University
- KINGS COLLEGE LONDON
- 47 more »
- « less
-
Field
-
this astonishing picometre fabrication precision. Further aims of the project include: Theoretical modelling of nanoscale effects and processes in SNAP Development of experimental methods of picometre-precise
-
satellites, with the potential for travel to test instrumentation in ideal locations. Additionally, the simulation work will focus on developing computational models to validate instrumentation and optimising
-
the molten pool. However, these models are computationally intensive and impractical for widespread simulations of large-scale part deposition. This project aims to develop a novel FEA-based approach
-
. Development of DT information modelling, data fusion, and forecasting guidelines and standards, and technology maturity benchmarks to derive cloud platform maturity level standards. Lead on the development
-
Research Groups at the Faculty of Engineering, which conduct cutting-edge research into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly
-
materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a plus Familiarity with FE simulation tools such as ANSYS
-
simulations to improve on existing power usage models. This research will be a key component of making computing more sustainable by providing novel insights into the energy usage of scientific software and
-
undertake comprehensive literature and market surveys, develop advanced simulation models, investigate integration into HVDC transmission systems, and design/test scaled-down hardware models at the ‘Wolfson
-
prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
system health monitoring, and more efficient maintenance planning. Digital twins offer a powerful foundation but must evolve beyond simulation to truly support engineering decisions. This PhD will develop