Sort by
Refine Your Search
-
Category
-
Employer
- University of Nottingham
- Cranfield University
- Loughborough University;
- Newcastle University
- The University of Manchester
- University of Birmingham
- University of Cambridge
- AALTO UNIVERSITY
- Imperial College London
- Loughborough University
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Oxford Brookes University
- Oxford Brookes University;
- The University of Edinburgh
- The University of Edinburgh;
- UCL;
- University of Birmingham;
- University of Bristol
- University of Dundee;
- University of Hull
- University of Leeds
- University of Plymouth
- University of Surrey
- University of Warwick
- 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
-
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
-
of Engineering), Mike Pound (Computer Vision, Computer Science Department), and Darren Wells (Plant and Crop Biophysics, School of Biosciences). Who we are looking for An enthusiastic, self-motivated, resourceful
-
. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
-
conferences. You will have access to engaging professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career
-
or computational frameworks, developed in collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative
-
computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
-
, with fixed nuclei, driven by ultra-short XFEL-pulses; • controlling the interplay of single-photon ionization and Auger-Meitner processes, the coupling of electron and nuclear motion, and imaging
-
) Research Group and the Department of Mechanical, Materials and Manufacturing Engineering (M3) and within the Faculty of Engineering at the University of Nottingham. The PEMC is a global leader in power