Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- ; University of Birmingham
- University of Cambridge
- University of Sheffield
- ; University of Exeter
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- ; Newcastle University
- ; Cranfield University
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Nottingham
- University of Newcastle
- ; Loughborough University
- ; University of Oxford
- ; University of Sheffield
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Oxford
- ; University of Cambridge
- ; University of Reading
- ; University of Strathclyde
- AALTO UNIVERSITY
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Edge Hill University
- ; University of East Anglia
- ; University of Greenwich
- ; University of Leeds
- ; University of Sussex
- Abertay University
- Harper Adams University
- University of Liverpool
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UCL
- ; University of Bradford
- ; University of Copenhagen
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Plymouth
- Aston University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Nature Careers
- University of Glasgow
- 47 more »
- « less
-
Field
-
) 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
-
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
-
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
-
) 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
-
. 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
-
and functional/molecular studies. Whilst the focus of this recruitment drive is to find a candidate with genomics expertise, enquiries would also be welcome from molecular biologists interested in using
-
scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please
-
scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please
-
, multi-source learning is used to integrate diverse patient populations to build robust models, but having to protect sensitive information. Various modern ML paradigms are proposed to address the diverse
-
for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a