Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Birmingham
- University of East Anglia
- University of Nottingham
- Loughborough University
- KINGS COLLEGE LONDON
- University of Birmingham;
- University of Sheffield
- ;
- Imperial College London;
- The University of Manchester
- University of Exeter
- University of Oxford;
- 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 Exeter;
- University of Greenwich
- University of Hull;
- University of Plymouth
- University of Reading
- University of Warwick
- 23 more »
- « less
-
Field
-
primary research aim will be to explore how the geometry of data can help build better uncertainty-quantifying models, particularly for complex data types like molecules and images. However, other research
-
This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
-
is expected to soon be able to diagnose diseases occurring outside the retina. OCT images can be aberrated by the eye itself and imperfect optical design. Ocular imaging with adaptive optics promises
-
financial economics. You will work at the frontier of interdisciplinary research, using high-resolution flood models alongside property data to build a dynamic picture of where flood hazards are concentrated
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
developed a dataset by conducting high-velocity impact experiments on CFRP specimens using controlled testing setups. The multimodal dataset is to be processed using X-ray CT scans, SEM imaging, and
-
; stem cells; and surgery. A number of pivotal discoveries have been made in Nottingham with current research continuing to provide exciting data, improving our understanding of breast cancer and
-
to constrain the depth of the magmatic pressurization source (5). Training The candidate will gain skills in seismic data processing, tomographic imaging, and numerical modelling. Travel opportunities include
-
data-driven approaches, multi-scale model development and software development depending on the interest of the successful applicant. Big picture: The Tarzia Research Group (https
-
several benefits, including thermal conductivity, electrical insulating and creating the necessary structural integrity needed around the battery. However, this process can be slow, induces an element of
-
processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student