Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Birmingham
- University of East Anglia
- University of Nottingham
- Loughborough University
- KINGS COLLEGE LONDON
- University of Birmingham;
- University of Sheffield
- ;
- Imperial College London;
- The University of Manchester
- University of Exeter
- University of Oxford;
- University of Warwick;
- Aston University;
- Imperial College London
- King's College London
- Kingston University
- Loughborough University;
- Oxford Brookes University
- Swansea University
- The University of Edinburgh;
- UCL
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Cambridge;
- University of Essex
- University of Exeter;
- University of Greenwich
- University of Hull;
- University of Plymouth
- University of Reading
- University of Warwick
- 23 more »
- « less
-
Field
-
maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods
-
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
-
AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
-
AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
-
to these questions will provide a new and much needed understanding of the controls of fluid-flow processes in the Cornubian batholith and their controls on the fluid mobilization of geothermal heat and metals
-
We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
-
results from human decision-making to inform the design of this new paradigm, and feed the results of the latter back into human decision-making to help make it more explainable. The PhD student will: (1
-
to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor
-
-inflammation and psychiatric disorders (e.g. depression). The cellular processes underlying structural brain change include neurogenesis and gliogenesis, cell loss, changes in cell shape, synapse formation and
-
of the underlying the physical processes leading to predictability and forecast skill of North Atlantic cyclones. The project will also explore statistical post-processing methods to see if raw forecast skill can be