Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- Durham University
- King's College London
- University of London
- Heriot Watt University
- Nature Careers
- Royal College of Art
- University of Cambridge
- University of Liverpool
- University of Sheffield
- AALTO UNIVERSITY
- Aston University
- DURHAM UNIVERSITY
- Heriot-Watt University;
- Medical Research Council
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Sheffield Hallam University
- University of Birmingham
- University of Nottingham
- 11 more »
- « less
-
Field
-
on autofluorescence (AF) imaging and Raman spectroscopy for detection of metastatic lymph nodes during breast cancer surgery. Engaging with and reporting to Dr Alexey A. Koloydenko (Department of
-
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
-
We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
-
Postdoctoral Research Associate in Computer Science ( Job Number: 25001131) Department of Computer Science Grade 7: - £38,784 - £41,064 per annum Fixed Term - Full Time Contract Duration: 36 months
-
experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
-
recently developed in a commercial 65 nm CMOS imaging process by a large international consortium of engineers and scientists for the ALICE ITS3 upgrade and the future experiments, ePIC@EIC and ALICE3@LHC
-
exploring B cell migration in the spleen. The successful candidate will have extensive experience in handling and processing live spleens and an established expertise in live imaging of this organ. As a
-
potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
-
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
-
understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid