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 Warwick
- ; University of Nottingham
- ; University of Southampton
- ; Newcastle University
- ; Cranfield University
- ; University of Surrey
- ; City St George’s, University of London
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Bristol
- AALTO UNIVERSITY
- University of Newcastle
- ; University of Leeds
- ; University of Sheffield
- ; University of Sussex
- Imperial College London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Exeter
- ; University of Oxford
- ; University of Strathclyde
- ; Aston University
- ; Brunel University London
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Plymouth
- ; University of Reading
- Abertay University
- Harper Adams University
- University of Oxford
- ; Coventry University Group
- ; Durham University
- ; Edge Hill University
- ; Imperial College London
- ; King's College London
- ; London South Bank University
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UCL
- ; University of Bradford
- ; University of Copenhagen
- Aston University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of East London
- University of Glasgow
- University of Liverpool
- 46 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
-
targets the development of advanced coatings to prevent cell-to-cell propagation during runaway events. It combines experimental studies, numerical modelling, and real-world burner rig testing, culminating
-
November 2025 or as soon as possible thereafter. This PhD project aims to explore how emerging datasets could provide value to the UK’s insurance industry through a combination of data analytics, modelling
-
zone in a very complex manner and lead the modelling to an imperfect zone of assumptions. These complexities allow the researchers to use approximations for useful lifetime calculations. Based
-
. Using gastruloids as a model system with which to study GAG structure/function relationships. Generating gastruloids from induced pluripotent stem cells (iPSCs) to create in vitro models for studying
-
of the heart’s electrical activity, often caused by complex changes in heart tissue. Understanding and treating arrhythmias effectively remains a major challenge. Recent advances in artificial intelligence (AI
-
functional motifs are encoded in HS chains and how they influence their biological activity. Using gastruloids as a model system with which to study GAG structure/function relationships. Generating gastruloids
-
of the heart’s electrical activity, often caused by complex changes in heart tissue. Understanding and treating arrhythmias effectively remains a major challenge. Recent advances in artificial intelligence (AI
-
of the assembly of these complex microbial communities using ecological theory and mathematical models. The questions we address are: (1) how does the microbial community change during cultivation
-
cardiovascular image analysis, but they are limited by their dependence on large, expert-annotated datasets, covering all cardiac conditions. This makes them unsuitable for identifying rare or complex cases, where