Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Exeter
- University of Nottingham
- Newcastle University
- Newcastle University;
- Swansea University
- The University of Manchester
- University of Cambridge
- University of Cambridge;
- University of East Anglia
- University of Exeter;
- ;
- Imperial College London;
- Loughborough University
- University of Birmingham
- University of Oxford;
- University of Surrey
- University of Warwick
- Cranfield University;
- European Magnetism Association EMA
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Oxford Brookes University
- Swansea University;
- The Medicines And Healthcare Products Regulatory Agency;
- The University of Edinburgh;
- The University of Manchester;
- 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;
- 29 more »
- « less
-
Field
-
novel multi-objective optimisation algorithms, to evaluate metrics such as material circularity, system efficiency, cost, and carbon footprint. The University of Surrey is ranked 12th in the UK in
-
This self-funded PhD opportunity focuses on assured multi-domain positioning, navigation, and timing (PNT), integrating data from space-based, terrestrial and platform-based sources of navigation
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
We are pleased to announce a self-funded PhD opportunity for Quantitative assessment of damage in composite materials due to high velocity impacts using AI techniques. Composite materials, such as
-
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
-
a team to undertake a PhD in the Optics and Photonics Research Group (OPG), supervised by Dr. Mitchell Kenney alongside collaborators within OPG and Life sciences. (https://www.nottingham.ac.uk
-
This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms
-
This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves
-
physics all the way to numerical simulation algorithms? Then apply now to join our team of researchers in the Quantum Information and Quantum Many-Body Physics research group. Your personal sphere
-
discovery, and deep-learning algorithms • Neutron scattering and advanced characterisation techniques The successful candidate will work closely with other PhDs and postdocs involved in similar investigations