Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Birmingham
- University of East Anglia
- University of Nottingham
- Loughborough University
- University of Birmingham;
- University of Exeter
- KINGS COLLEGE LONDON
- University of Sheffield
- ;
- Imperial College London;
- Newcastle University
- The University of Manchester
- University of Exeter;
- University of Oxford;
- University of Surrey
- University of Warwick;
- Aston University;
- Imperial College London
- King's College London
- Kingston University
- Loughborough University;
- Oxford Brookes University
- Swansea University
- The University of Edinburgh;
- UCL
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Cambridge;
- University of Essex
- University of Greenwich
- University of Hull
- University of Hull;
- University of Oxford
- University of Plymouth
- University of Reading
- University of Warwick
- 27 more »
- « less
-
Field
-
new types of measurements, can help us create a more complete picture of the electron wavefunction. The project relies on a combination of concepts from quantum mechanics, information theory, and
-
imaging and monitoring of resin infusion in sample composite structures to build the digital twin and then explore methods for defect prediction and real time process control. The improved process
-
Scoliosis (AIS). Although surgery straightens the spine, AIS is associated with poor self-image and psychological distress. This project will investigate this, developing assessment and management tools
-
an industry partner which is developing image-based interventions to support people living with dementia. Their interactive platform presents images that serve as prompts for reminiscence, social connection and
-
: environmental monitoring, AI, computer vision or multispectral imaging. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5
-
focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
-
and technology. Desirable (not essential): Research experience in sports medicine and technology (e.g. publication or final year project). Programming skills in MATLAB or Python. Application Procedure
-
Mativenga (UoM), has extensive expertise in laser materials processing. Dr Chu Lun Alex Leung (Mechanical Engineering at UCL) will also collaborate. he specialises in imaging of additive manufacturing and
-
Conventional metal mining, in which minerals are physically extracted from the subsurface and then processed to recover target metals (which often make up only a small fraction of the total mass) is
-
will also work closely with our industrial partner on process engineering for a scalable prototype facility and product output testing. The successful PhD student will be supervised by Prof Anh Phan from