Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- UNIVERSITY OF SOUTHAMPTON
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- KINGS COLLEGE LONDON
- University of Birmingham
- King's College London
- UCL;
- UNIVERSITY OF MELBOURNE
- University College London
- University of Stirling
- Imperial College London
- University of Nottingham;
- AALTO UNIVERSITY
- Aston University
- Newcastle University
- The University of Edinburgh;
- University of Exeter;
- University of Leeds
- University of Leeds;
- University of London
- University of Sheffield
- University of Sussex;
- 13 more »
- « less
-
Field
-
biology, engineering, biophysics, computer science) and experience in 3D imaging of brain tissue, image segmentation, and handling large datasets. You are comfortable with machine learning and image
-
characterisation and heat-transfer measurements, and development of model-predictive control algorithms for dynamic charge–discharge operation. The postholder will support prototype fabrication, instrumentation
-
the ability to translate between clinical and technical language while working with radiology informatics teams. A solid understanding of DICOM standards, PACS and RIS environments, GDPR, and image transfer
-
to translate between clinical and technical language while working with radiology informatics teams. A solid understanding of DICOM standards, PACS and RIS environments, GDPR, and image transfer workflows is
-
Kuberan Pushparajah and Dr Alessandra Frigiola within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About the role Applications
-
imaging under the supervision of Dr Kuberan Pushparajah and Dr Alessandra Frigiola within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London
-
an expert in combining neuroimaging with neuromodulation. The post holder will lead work in setting imaging protocols, processing of neuroimaging (fMRI, dMRI, MRS) and cognitive data gathered before
-
& Imaging Sciences, King’s College London. About the role Applications are invited for a clinical research fellow in Cardiac MRI to undertake clinical and research activity focussed on advanced adult
-
innovations in computational cognitive neuroscience and brain imaging Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional
-
patients with lung / cardiac MRI and improve patient experience. Image computing support for pulmonary MRI applications. Development of hardware for neonatal / paediatric MR applications Contribute to and