Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Swansea University
- Newcastle University
- University of Exeter
- University of Nottingham
- University of Cambridge
- The University of Manchester
- University of Cambridge;
- University of Exeter;
- Imperial College London;
- Loughborough University
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Newcastle University;
- The University of Manchester;
- University of Birmingham
- University of East Anglia
- University of Oxford;
- University of Surrey
- University of Warwick
- ;
- Cranfield University;
- European Magnetism Association EMA
- Oxford Brookes University
- Swansea University;
- The University of Edinburgh;
- UCL
- UCL;
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of Bristol
- University of Bristol;
- University of Hull
- University of Kent;
- University of Leeds
- University of Newcastle
- University of Surrey;
- University of Warwick;
- 28 more »
- « less
-
Field
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
-
, integrity-aware multi-domain navigation benchmark and associated algorithms, tested in realistic operational environments. The outputs will support standardisation efforts, accelerate cross-domain navigation
-
advance the development of the Tool’s algorithms and functionality. As a key innovative component of D-Suite, this open-source tool will achieve wide industry visibility, and will be formally evaluated by
-
This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
-
sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
-
novel computational imaging and sensing techniques for compact imaging systems. These systems are applicable to all sectors which require compact imaging specifications, but will have a primary focus on
-
in the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a
-
-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
-
) under the supervision of Dr Elton Santos, and Dr Nina-Juliane Steinke. This is a joint programme between both institutions, which combine advanced modelling methods (spin dynamics, quantum approaches, AI
-
. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD