Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Nottingham
- University of Birmingham
- Nature Careers
- Imperial College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- University of Cambridge
- University of Glasgow
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Oxford
- King's College London
- UCL;
- University College London
- University of Brighton
- University of London
- ; Technical University of Denmark
- CRUK Scotland Institute
- Durham University
- London School of Hygiene & Tropical Medicine;
- Nottingham Trent University
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- Queen's University Belfast;
- Technical University of Denmark
- University of Exeter;
- University of Leeds
- University of Leeds;
- University of Leicester
- University of Manchester
- University of Sheffield
- University of Stirling
- University of Surrey
- University of Surrey;
- 27 more »
- « less
-
Field
-
Support”, through analysis of MR Diffusion Weighted Imaging and MR Spectroscopy and leading other members of the wider team Specific aims of the project To prospectively evaluate non-invasive pre-surgical
-
the EPIC project funded by Reckitt and by ICA project funded by RGHI. It is available from 1 October 2025. The salary will be on the LSHTM salary scale, Grade 6 in the range £45,097 - £51,156 per annum pro
-
treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible
-
We have an exciting opportunity for a Research Assistant/Associate/Fellow to contribute/make a leading contribution to a project EPIC (the Scottish Government funded Centre of Expertise on Animal
-
biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
-
biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
-
time experiments. Experience of working in an interdisciplinary team. Experience with supervising and mentoring more junior researchers. Beneficial Criteria Experience in coding (e.g. Python, C, Fortran
-
. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS
-
previously worked extensively in the phenotyping of SLE arthritis using imaging and development of better outcome measures. Our current work in this field has several aims. We want to advance understanding
-
) you wish to be considered for in your cover letter. Job Purpose You will contribute to/make a leading contribution to a project EPIC (the Scottish Government funded Centre of Expertise on Animal Disease