Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- University of London
- Durham University
- University of Cambridge
- UNIVERSITY OF VIENNA
- University of Liverpool
- King's College London
- DURHAM UNIVERSITY
- AALTO UNIVERSITY
- Heriot Watt University
- Manchester Metropolitan University
- Aston University
- Nature Careers
- ; King's College London
- Imperial College London
- University of Birmingham
- University of Glasgow
- ; University of Oxford
- University of Nottingham
- Cardiff University
- Swansea University
- University of Bath
- University of Sheffield
- ; CRUK Scotland Institute
- ; Queen Mary University of London
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; The Francis Crick Institute
- ; The University of Manchester
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Dundee
- ; University of Exeter
- ; University of Kent
- Birmingham City University
- City University London
- King’s College London (University of London)
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
- Nottingham Trent University
- Oxford Brookes University
- Royal College of Art
- Royal Holloway
- Sheffield Hallam University
- University of Bristol
- University of Hull
- University of Leicester
- University of Lincoln
- University of Reading
- University of West London
- 42 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Chemistry
- Mathematics
- Materials Science
- Humanities
- Engineering
- Science
- Psychology
- Social Sciences
- Linguistics
- Earth Sciences
- Arts and Literature
- Law
- Environment
- Physics
- Education
- Electrical Engineering
- Sports and Recreation
- Business
- Philosophy
- 13 more »
- « less
-
treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
-
. About the role Increasingly, it is appreciated that development and maintenance of host tissues is influenced by the microbial communities that live in and on our skin, gut, mouth, and nose. This can be
-
About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
-
deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
-
will develop novel tools which will allow efficient flow modelling tools for other researchers to explore higher fidelity thermochemistry modelling. The main responsibilities of the post will be
-
the formation of the brain during embryonic development and in early postnatal life. This is based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan
-
of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse single-cell modalities, focusing on gene
-
in binding, and the biochemical/ biophysical properties of MX2’s amino terminus. In the longer-term we will develop collaborations that will exploit electron microscopy to examine the effect of MX2
-
that development and maintenance of host tissues is influenced by the microbial communities that live in and on our skin, gut, mouth, and nose. This can be due to direct contact, as in the gut, or via the production
-
the Department of Engineering Science. The post is funded for a 2-year fixed term. You will be actively involved in developing and running experimental facilities at the Oxford Thermofluids Institute