Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; The University of Manchester
- Cranfield University
- ; University of Sussex
- ; University of Warwick
- ; Swansea University
- ; University of Birmingham
- ; University of Leeds
- Abertay University
- Swansea University
- University of Nottingham
- ; Anglia Ruskin University
- ; Cranfield University
- ; London South Bank University
- ; Loughborough University
- ; Manchester Metropolitan University
- ; UCL
- ; University of Bristol
- ; University of Hull
- ; University of Nottingham
- ; University of Plymouth
- University of Cambridge
- 12 more »
- « less
-
Field
-
This project aims to enhance best practices in strain quantification for biomedical applications, facilitating the transition of image-based measurement methods from laboratory research to clinical
-
Families, and sponsors of International Women in Engineering Day. We are also Disability Confident Level 1 Employers and members of the Business Disability Forum and Stonewall University Champions Programme
-
engineering, medical physics, image analysis, computational neuroscience or quantitative psychology is desirable. If you would like to work on a PhD project about biological understanding of human diseases and
-
(or equivalent) in 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
-
School/Faculty: Computer Science Eligibility: UK/International Funding: School of Computer Science Studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780
-
manufacture, to enable quantitative imaging. Your research will include a mix of computational and experimental work to develop and characterise these instruments. Monte Carlo simulations (using GEANT4) will
-
effective ways to utilise the current wearable haptic technology we have at Abertay (Teslasuit) with the built-in mocap system for multi-users. To prototype a robust haptic system or environment using other
-
Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
-
industrially-relevant human-made materials. This project will address key priorities in the microscopy sector by developing workflows that integrate cutting-edge imaging and characterization techniques and
-
of their machines is maximised, or machine downtime is minimised. The aim is to develop a smart sensor prototype and demonstrator for condition monitoring of low-speed bearings. The following objectives are defined