Sort by
Refine Your Search
-
Listed
-
Employer
- KINGS COLLEGE LONDON
- University of Oxford
- King's College London
- University of London
- AALTO UNIVERSITY
- Aarhus University
- Durham University
- Heriot Watt University
- Queen Mary University of London;
- University of Liverpool
- ;
- European Magnetism Association EMA
- Imperial College London;
- Nature Careers
- University of Exeter;
- University of Glasgow
- University of Greenwich
- University of Oxford;
- University of York;
- 9 more »
- « less
-
Field
-
distortions in the presence of a shallow crustal hydrothermal system at a model caldera volcano. The model will use the phase field approach and be implemented in Alya, the parallel multi-physics Computation
-
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
-
, bioinformatics, and liver disease. Based at the James Black Center, Denmark Hill campus, our team works on understanding and modeling metabolic and inflammatory processes that drive liver disease progression. We
-
About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million pound research funding and collaborates with other universities and Faculties within KCL, the NHS
-
Location: Hammersmith Campus, Imperial College London About the role: We are looking for a highly motivated Postdoctoral Research Associate to join a multi-disciplinary research group focused
-
About us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million pound research funding and collaborates with other universities and Faculties within KCL, the NHS
-
About us UCL is one of the world’s leading multi-disciplinary universities. We operate in a global context and are committed to excellence, innovation and the promotion of global understanding in
-
Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical
-
group, an innovative research team at the intersection of systems medicine, bioinformatics, and liver disease. Based at the James Black Center, Denmark Hill campus, our team works on understanding and
-
collaboration with Dr Samuel Ellis at the University of Exeter, Prof Rufus Johnstone at the University of Cambridge, and Dr Michael Weiss at the Center for Whale Research (USA), is available from 1 April 2026