Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- Harper Adams University
- University of Nottingham
- University of Cambridge
- ; Swansea University
- ; University of Birmingham
- Newcastle University
- University of Newcastle
- ; Cranfield University
- ; University of Bristol
- ; University of Nottingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Surrey
- Heriot Watt University
- KINGS COLLEGE LONDON
- ; Brunel University London
- ; Coventry University Group
- ; Edge Hill University
- ; Imperial College London
- ; Loughborough University
- ; Newcastle University
- ; The University of Manchester
- ; University of Cambridge
- ; University of Plymouth
- AALTO UNIVERSITY
- Abertay University
- Durham University;
- Heriot-Watt University;
- Imperial College London
- The University of Manchester
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Exeter
- University of London
- University of Manchester
- University of Sheffield
- 29 more »
- « less
-
Field
-
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
-
development. The student will also have access to Cranfield’s state-of-the-art laboratories and a vibrant research community, as well as chances to present their work at international conferences and build a
-
3 years. The studentship is fully funded for 3 years. The pan-University Graduate School offers an integrated training programme to the postgraduate community within a single centre, serving to
-
Project Description: This funded Humanities PhD project will be conducted as part of the new Centre for Net Positive Health and Climate Solutions. The project will focus on cultural histories of eco
-
modelling software. Practical experience in advanced manufacturing techniques for novel materials. Opportunities to present research at international conferences and build a professional network across
-
at international conferences and build a professional network across academia and industry. Development of expertise in cutting-edge experimental techniques, computational modelling, and interdisciplinary
-
analytics tools have been massively developed in the research community to address this challenge. These AI-based analytics tools are data-driven and black-box, so the interpretation of how predictions
-
-mechanical phase-field model incorporating hydrogen diffusion, mechanical degradation, and fracture evolution. - Employ physics-informed neural networks (PINNs) to infer hidden fields and accelerate
-
) under the supervision of Dr. Elina Spyrou . Summary of Project: Power systems are at the core of the transition to net-zero energy systems, and they have to transform in two ways. First, their generation
-
services would be to keep children close to their usual home (where safe to do so) and maintain their family and community networks often this is not possible and high cost out of area placements