Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- ; University of Birmingham
- ; University of Nottingham
- University of Cambridge
- ; University of Exeter
- ; The University of Edinburgh
- ; Newcastle University
- ; University of Reading
- University of Manchester
- University of Sheffield
- ; Cranfield University
- ; University of Warwick
- University of Newcastle
- Imperial College London
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Oxford
- ; University of Southampton
- ; University of Surrey
- ; University of Cambridge
- ; University of Leeds
- ; University of Sheffield
- ; University of Sussex
- University of Oxford
- ; Edge Hill University
- ; University of Bristol
- ; University of East Anglia
- Abertay University
- Harper Adams University
- ; Aston University
- ; Manchester Metropolitan University
- ; UCL
- ; UWE, Bristol
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Strathclyde
- AALTO UNIVERSITY
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Warwick
- ; Brunel University London
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; King's College London
- ; Lancaster University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; University of Bradford
- ; University of Copenhagen
- ; University of Huddersfield
- ; University of Kent
- ; University of Stirling
- Durham University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Nature Careers
- Newcastle University
- UNIVERSITY OF MELBOURNE
- University of East London
- University of Glasgow
- University of Liverpool
- 57 more »
- « less
-
Field
-
fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
-
scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in
-
datasets, therefore, there will be a focus in the implementation of models for large volumes of data. The project will work in an exciting interface of statistics and machine learning and has the potential
-
Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
-
fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
-
of their machines is maximised, or machine downtime is minimised. The aim is to develop a smart sensor prototype and demonstrator for condition monitoring of low-speed bearings. The following objectives are defined
-
filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
-
synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
-
candidate will have strong analytical skills and substantial experience in machine learning at scale. The Prorok Lab in the Dept. of Computer Science & Technology, has a variety of robotic platforms (aerial
-
/ . The post offers an exciting opportunity for conducting internationally leading research on the whole spectrum of novel machine learning algorithms and practical medical imaging applications, aiming