Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Cranfield University
- Loughborough University;
- The University of Manchester
- University of Birmingham
- University of Surrey
- Newcastle University
- University of Plymouth
- University of Warwick
- Imperial College London
- King's College London
- Loughborough University
- Manchester Metropolitan University;
- Northeastern University London
- Oxford Brookes University;
- Swansea University
- The University of Manchester;
- UCL;
- UNIVERSITY OF MELBOURNE
- University of Birmingham;
- University of Cambridge
- University of Dundee;
- University of Exeter
- University of Exeter;
- University of Leeds
- 15 more »
- « less
-
Field
-
in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
-
subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
-
: Semiconductor processing or microfabrication Computational modelling (COMSOL, MATLAB, or similar) Experience with optical/THz systems is beneficial but not essential Curiosity, problem‑solving ability, and
-
, this enables the development of more accurate computational models for various industrial processes. The experimental methods developed in this project will directly contribute to a better understanding of
-
and brain. Perform molecular, cellular and histological experiments, including AAV injections, tissue processing, immunostaining and stereological confocal image analysis. Develop and apply image and
-
Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
-
an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT
-
extraction materials. Addressing these challenges requires fundamentally new approaches that integrate mineral liberation, molecular recognition, and process engineering. This PhD project contributes
-
for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
-
size, weight, power and cost constraints, accurate relative positioning and motion knowledge across platforms, coordinated data acquisition strategies, and the development of SAR image formation