Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ;
- University of Sheffield
- University of Oxford
- KINGS COLLEGE LONDON
- Cranfield University
- Imperial College London
- University of Glasgow
- University of Cambridge
- Heriot Watt University
- UNIVERSITY OF VIENNA
- King's College London
- Nature Careers
- University of Nottingham
- University of Bath
- University of London
- University of Manchester
- ; The University of Manchester
- University of Bristol
- University of Birmingham
- AALTO UNIVERSITY
- ; University of Nottingham
- Durham University
- Nottingham Trent University
- Aston University
- Cardiff University
- Queen's University Belfast
- Ulster University
- University of Newcastle
- ; City St George’s, University of London
- ; University of Warwick
- Manchester Metropolitan University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- University of Leicester
- University of Reading
- VIETNAMESE-GERMAN UNIVERSITY
- ; Swansea University
- ; University of Exeter
- Lancaster University
- University of West London
- ; Newcastle University
- ; University of Leeds
- ; University of Oxford
- ; University of Southampton
- ; University of Surrey
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Liverpool
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Bristol
- ; University of Reading
- ; University of Sussex
- Abertay University
- Birmingham City University
- CRANFIELD UNIVERSITY
- Harper Adams University
- Medical Research Council
- QUEENS UNIVERSITY BELFAST
- SORBONNE UNIVERSITY ABU DHABI
- The University of Southampton
- UNIVERSITY OF SURREY
- VIN UNIVERSITY
- Wenzhou Business College
- ; Aston University
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Maastricht University
- ; UCL
- ; UWE, Bristol
- ; University of East Anglia
- ; University of Greenwich
- ; University of Sheffield
- ; University of Strathclyde
- City University London
- DURHAM UNIVERSITY
- Hult
- Kingston University
- Loughborough University
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF MELBOURNE
- University of Exeter
- University of Greenwich
- University of Hull
- University of Leeds
- University of Stirling
- University of Worcester
- University of the West of England
- 81 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
-
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
-
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
-
for extracting physiological biomarkers from ECG, PPG, and related sensor data Machine learning and AI for predictive modelling and risk stratification Computational physiology modelling to personalise and
-
machine-learning surrogate models capable of delivering near-DFT (density functional theory) accuracy in just a few CPU seconds per structure. This approach will enable the high-throughput screening of tens
-
integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
-
fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme! How does it work? Candidates will study for a four year, full time funded PhD