Sort by
Refine Your Search
-
Listed
-
Employer
- KINGS COLLEGE LONDON
- University of Oxford
- ;
- Durham University
- King's College London
- Heriot Watt University
- Aston University
- University of London
- AALTO UNIVERSITY
- Heriot-Watt University;
- Nature Careers
- Northumbria University;
- Oxford Brookes University
- Oxford Brookes University;
- Royal College of Art
- Sheffield Hallam University
- University of Cambridge
- University of Newcastle
- University of Nottingham
- University of Nottingham;
- 10 more »
- « less
-
Field
-
stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances
-
London, with a team of investigators covering AI, computer vision, robotics, and medical imaging. You will join a dynamic and successful team with access to both cutting-edge computer power and advanced
-
2026, and is fixed-term for 7 months. Applications will be considered from those very close to completing their PhD, in which case you will be appointed as a Research Assistant. Starting salary and grade
-
document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are
-
of ultrasonic processing and materials characterisation. You will be specifically responsible for the testing, characterisation and critical evaluation of the as cast and prototype AM test pieces. Hence a
-
environment in the School of Physical Sciences. Maintain cell cultures and perform imaging studies and analysis on these cultures. About You Essential: A PhD in physics, biology, applied mathematics, computing
-
About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
-
control of image illumination/acquisition and stage movement systems. Processing and analysis of data from the above. Interacting with commercial collaborator for the translation of concepts to applied
-
to reconstruct subsurface defects; Implement image/signal‑processing or machine‑learning pipelines for automated flaw characterisation; Collaborate with the Federal University of Rio de Janeiro, including short
-
of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs