Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Sheffield
- University of Nottingham
- ; Swansea University
- ;
- ; The University of Manchester
- ; University of Birmingham
- ; University of Exeter
- ; University of Leeds
- Newcastle University
- ; Cranfield University
- ; Edge Hill University
- ; Imperial College London
- ; Lancaster University
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Cambridge
- ; University of Reading
- Lancaster University;
- Swansea University
- The University of Edinburgh;
- The University of Manchester;
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Cambridge;
- University of Nottingham;
- University of Oxford
- 19 more »
- « less
-
Field
-
Technologies for e-governance and civic engagement play a crucial role in supporting and transforming public services and community interactions, with the potential to foster greater citizen
-
of the covariance of physical laws under transformations between quantum reference frames. This is part of your personality: You have completed your Master's degree or Diploma in physics. You have experience in
-
called ‘What Should We Talk About?’ This Project is an activity of the ANTITHESES Platform for Transformative Inclusivity in Ethics and Humanities. ANTITHESES addresses an urgent need for research that can
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
graphs, and ontologies, the research will help engineers transform unstructured maintenance records into explainable insights. By capturing both technical and experience-based (tacit) knowledge, the system
-
accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the Department of Mechanical Engineering at the University of Sheffield, and embark on a transformative PhD
-
The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
-
building typologies. This research aims to transform Pulse testing through AI integration—specifically leveraging descriptive, predictive, and generative modelling techniques—to enhance test accuracy
-
a reliance on manual configurations, suboptimal test conditions, and limited adaptability to varied building typologies. This research aims to transform Pulse testing through AI integration
-
the potential to transform clinical ophthalmology, offering improved diagnostic capabilities and deeper insights into the structural integrity of the retina. At a glance Application deadline03 Dec 2025 Award type
-
Net Zero 2050 goals, electric motors must undergo a transformational leap—from today’s typical power densities of 2–5 kW/kg to a step-change 10–25 kW/kg by 2035. The highest power dense motors today