Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Glasgow
- University of Sheffield
- ;
- Medical Research Council
- University of Oxford
- King's College London
- University of Nottingham
- University of Cambridge
- Cardiff University
- KINGS COLLEGE LONDON
- University of London
- ; University of Plymouth
- ; University of Southampton
- Swansea University
- ; City, University of London
- ; Newcastle University
- ; Swansea University
- ; University of Exeter
- ; University of Greenwich
- UK Dementia Research Institute
- University for the Creative Arts
- ; Babraham Institute
- ; Berlin Institute of Health
- ; Brunel University London
- ; King's College London
- ; Manchester Metropolitan University
- ; The University of Edinburgh
- ; UCL
- ; University of Birmingham
- ; University of Cambridge
- ; University of Leeds
- ; University of Oxford
- ; University of Sheffield
- ; University of Warwick
- ; Xi'an Jiaotong - Liverpool University
- Aston University
- Birmingham City University
- Brunel University
- Leverhulme Trust
- Nottingham Trent University
- The University of Southampton
- UNIVERSITY OF DUNDEE
- UNIVERSITY OF SOUTHAMPTON
- University of Bristol
- University of Exeter
- University of Hull
- University of Leeds
- University of Leicester
- University of Stirling
- University of Westminster
- University of the West of England
- 41 more »
- « less
-
Field
-
Modern deep learning techniques achieve human-like performance in many medical image analysis tasks, including the identification of anomalous tissue/pathology from medical scans. To be trained
-
world leaders in precision medical imaging. Research placements of up to six months at Queensland are an integral part of the PhD. This studentship, with Nottingham’s flagship Additive Manufacturing
-
by Manchester United FC. This approach to real-time imaging will be integrated into an AI imaging analytics package to promote automatic injury detection and aid player diagnosis by the partner medical
-
efficiency and environmental sustainability. Your scientific research will focus on the development of machine/deep learning-based medical image analysis methods for computerised tomography scans (CT scans
-
. You will carry out development of magnetic resonance spectroscopic imaging (MRSI) using a parallel transmit-enabled ultra-high field (7T) MRI. Specifically, you will develop and validate novel
-
View Vacancy -- MRC Investigator Scientist in Cardiac Image Analysis LMS 2425 Open Date 07/06/2024, 00:00 Close Date 30/06/2024, 23:55 Research Institute MRC Laboratory of Medical Sciences
-
reports, as well as some limited administrative duties and supervision of more junior researchers and students. The project would suit candidates with a PhD in neuroimaging, medical imaging, biomedical
-
skills and experience: Essential criteria BSc (2:1 or above) in Physics or other relevant field - (Grade 5) PhD awarded or near completion in radiobiology, computational modelling, medical physics or other
-
Alpes. Thanks to increasingly precise and sophisticated medical imaging techniques and fast-growing powerful image morphing tools, there are ways to predict the appearance of a patient's face after
-
the facility’s capabilities where appropriate. About you It is essential that you hold, or be close to completion of, a PhD/D.Phil in a relevant subject, e.g. physics, biophysics, medical/biomedical imaging