Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Birmingham
- University of Nottingham
- Newcastle University
- University of Exeter
- University of Birmingham;
- Loughborough University
- University of Exeter;
- AALTO UNIVERSITY
- Cranfield University
- Edinburgh Napier University;
- KINGS COLLEGE LONDON
- Loughborough University;
- Swansea University
- The University of Manchester;
- University of Cambridge;
- Bangor University
- Imperial College London;
- UCL
- UNIVERSITY OF VIENNA
- University of Sheffield
- Edinburgh Napier University
- King's College London
- King's College London;
- Liverpool John Moores University
- Manchester Metropolitan University
- Newcastle University;
- Swansea University;
- The University of Edinburgh;
- University of East Anglia
- University of Nottingham;
- University of Plymouth
- University of Plymouth;
- 22 more »
- « less
-
Field
-
conditions. Polymer nanocomposites have shown great promise for sensing and actuation, but current drawbacks include limited mechanical robustness, environmental stability and sensitivity. This project aims
-
role in shaping the research direction by selecting study regions, refining analytical approaches, and integrating methods across atmospheric science, remote sensing, and epidemiology
-
will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
-
personal sphere of influence: The Chin Research Group at the Department of Functional Materials and Catalysis at the Faculty of Chemistry develops advanced porous materials (MOF and COF) for sensing, energy
-
depends on activation of its virulence regulator PrfA, a transcription factor that senses the host environment. PrfA function is essential for pathogenesis; its inactivation renders the bacterium harmless
-
, delivering high-resolution imaging and molecular Raman sensing to improve diagnosis of cancer and enable localised treatment. What we offer: The chance to work in a world-class multi-disciplinary team
-
serious safety risks for older adults, and rapid, reliable detection can significantly reduce long-term injury and improve emergency response. Building on recent advances in vibration-based sensing
-
erosion and subsequent effect on land-to-lake dynamics using isotope tracer and source apportionment methodology at test sites in the Winam Gulf. (2) Explore use of remote sensing data and machine learning
-
to direct self-assembly. The approach promises scalable, energy-efficient alternatives to lithography for photonic, sensing, and energy applications. Thin films of Chladni patterns could also enable novel
-
personal circumstances) as well as flexible working and part-time study requests, to enable greater access to a PhD. All our supervisors support us with this aim, so please feel comfortable in discussing