Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- KINGS COLLEGE LONDON
- Heriot Watt University
- University of Oxford
- Durham University
- King's College London
- University of London
- University of Cambridge
- University of Sheffield
- AALTO UNIVERSITY
- Aston University
- DURHAM UNIVERSITY
- Medical Research Council
- Nature Careers
- University of Liverpool
- 5 more »
- « less
-
Field
-
to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
-
this technology and create stand-alone units within washroom and cleanrooms. We will develop widefield fluorescent imaging techniques to segment contamination from instruments, with automated multi-spectral overlay
-
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
-
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
-
to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
-
of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers designing and translating technology into the clinical
-
the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
-
the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
-
graph neural networks for complex sensor networks such as those involved in brain imaging Develop and test data-driven methods for image and video processing for microendoscopy. Key Duties and
-
it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop