Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Manchester Metropolitan University;
- University of Exeter
- ;
- University of Nottingham
- Edinburgh Napier University;
- University of Cambridge;
- University of Glasgow
- University of Newcastle
- AALTO UNIVERSITY
- Cranfield University;
- Imperial College London;
- Lancaster University
- Liverpool John Moores University
- Loughborough University;
- UCL
- UCL;
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of East Anglia;
- University of Exeter;
- University of Sheffield
- University of Sheffield;
- University of Warwick
- 14 more »
- « less
-
Field
-
or master’s course with substantial mathematical content, e.g. mathematics, statistics, physics, management science, or computer science. Early applications are encouraged, as candidates will be invited
-
) in railway earthworks asset management. It will deliver improved InSAR techniques, including an advanced SBAS methodology and AI-driven spatial resolution upgrades, for more accurate monitoring of
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, computer vision, and data analysis using industry-standard tools such as Python, MATLAB, and deep learning frameworks. The student will enhance their ability to manage complex, interdisciplinary research
-
from Theoretical Computer Science. Our research group is located jointly at the Faculty of Physics – as part of the Quantum Optics, Quantum Nanophysics, and Quantum Information Group – and at the Faculty
-
, deal with problems which may affect the achievement of research objectives and contribute to the planning of the projects. Collect, analyse and interpret research data and draw conclusions
-
School/Department Computer Science and Mathematics Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our
-
across the HealthMod consortium and associated projects. The candidate will also operate the tools developed to run analyses under supervision and make contributions to the formulation and submission
-
East Africa, including (i) estimating the degree to which current surveillance and control strategies cover An. stephensi , (ii) assessing the potential impact of integrated vector management strategies
-
on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent
-
systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own