Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Sheffield
- ; City St George’s, University of London
- ; St George's, University of London
- ; Swansea University
- ; University of Warwick
- Cranfield University
- Imperial College London
- KINGS COLLEGE LONDON
- Loughborough University
- University of Birmingham
- University of Nottingham
- University of Plymouth
- University of Warwick
- 4 more »
- « less
-
Field
-
international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
-
settings. The project will be supervised by experts in DIC (Hari Arora), surgery (Iain Whitaker) and wider biomaterials imaging research at Swansea University (Richard Johnston), building on decades
-
at higher risk offered PSA blood tests which are not definitive. Our research aims to develop an image-based approach to screening, combining PSA testing with MRI to better identify aggressive cancers
-
Overview This research assistant post will enable the candidate to undertake a PhD on the diagnosis of pancreatic cancer, specifically focusing on examining the use of imaging before a diagnosis is
-
research programme funded by the Academy of Medical Sciences Springboard award. This project aims to explore the role of these neighbouring glycoproteins in neurotrophin-mediated neuronal development as
-
assessments. Focus on the brain and psychology research outcomes, using these to produce original research outputs for publication in medical journals. Master cutting-edge laboratory assessments of health and
-
outputs for publication in medical journals. Master cutting-edge laboratory assessments of health and imaging using 3 Tesla MRI scanning to investigate skeletal muscle and energy metabolism biomarkers
-
perfusion as people age with various comorbidities (hypertension, hypotension, obesity) will preserve oxygen supply to the brain. MRI and two photon imaging are used in animal models to understand
-
, machine learning techniques may be integrated to accelerate simulations and improve medical image processing, ultimately aiding in stroke diagnosis and treatment planning. Please note that this is a self