Sort by
Refine Your Search
-
Employer
- University of Birmingham
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- CRANFIELD UNIVERSITY
- Ellison Institute of Technology
- Francis Crick Institute
- King's College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UCL;
- Cranfield University
- Nottingham Trent University
- Queen's University Belfast
- Queen's University Belfast;
- The University of Southampton
- University of Glasgow
- University of Manchester
- University of Nottingham;
- University of Sheffield
- University of Warwick;
- Durham University
- Nottingham Trent University;
- The Francis Crick Institute
- The Institute of Cancer Research;
- The University of Manchester;
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Birmingham;
- University of Bristol
- University of Dundee
- University of Hertfordshire;
- University of Liverpool
- University of London
- University of Oxford;
- University of Sheffield;
- University of Southampton;
- University of Surrey
- University of Surrey;
- 27 more »
- « less
-
Field
-
About Us A 3-year PhD-fellowship is available at the School of Biomedical Engineering & Imaging Sciences at King's College London. This position is part of the Cardiovascular Digital Twin network
-
Invention Agency (ARIA), working at the intersection of Isabelle/HOL, the seL4 verified microkernel, information-flow security, and AI-assisted theorem proving. The project aims to develop a formally-verified
-
is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their
-
skills, including econometric and statistical methods, and experience of analysing labour market data. We would particularly welcome experience of using large-scale survey, administrative or linked
-
at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
-
an experienced, motivated quantitative Research Training Fellow to lead data integrative analyses in large-scale epidemiological studies of cancer and apply innovative methods in epidemiology, statistics and data
-
at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
-
Specification A PhD relevant to the research area (or near completion), or equivalent PhD level qualifications. High level analytical capability Ability to communicate complex information clearly Fluency in
-
, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
-
subject area relevant to the post and with a significant quantitative component - Have or be about to obtain* a relevant PhD in cognate subjects. - Significant administrative data research experience and skills