Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Birmingham
- Cranfield University
- Loughborough University
- Newcastle University
- University of Birmingham;
- University of Nottingham
- University of East Anglia
- University of Exeter
- ;
- University of Plymouth
- King's College London
- Loughborough University;
- Oxford Brookes University
- UCL
- University of Cambridge
- University of Exeter;
- University of Hull
- University of Sheffield
- University of Surrey
- University of Warwick
- Imperial College London;
- KINGS COLLEGE LONDON
- Manchester Metropolitan University
- Newcastle University;
- Swansea University
- Swansea University;
- The University of Edinburgh
- The University of Edinburgh;
- University of Bristol;
- University of Cambridge;
- University of Essex
- University of Hull;
- University of Leeds
- University of Oxford
- University of Oxford;
- University of Plymouth;
- University of Reading
- 27 more »
- « less
-
Field
-
power consumption. Many emerging biomedical devices, such as non-invasive and indwelling systems, require reliable operation and continuous feedback on biochemical conditions at the device–tissue
-
expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians
-
the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical
-
: environmental monitoring, AI, computer vision or multispectral imaging. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5
-
We are recruiting a new fully-funded PhD student to join Dr Daniel Yon’s Uncertainty Lab at the School of Psychological Sciences at Birkbeck, University of London. This post is attached to a recent
-
-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms, using signal processing/machine learning techniques, to realise all-weather perception in
-
Faculty of Health, Science and Technology 3 Year, full-time PhD studentship Eligibility: Home UK/EU and International applicants Bursary p.a: The stipend is at the UKRI rate (currently £20,780
-
and technology. Desirable (not essential): Research experience in sports medicine and technology (e.g. publication or final year project). Programming skills in MATLAB or Python. Application Procedure
-
students Subject areas Computer sciences Physical & Environmental Sciences Project description The accelerating impacts of climate change—particularly those related to water, such as flooding, coastal
-
strong upper second-class undergraduate degree in Chemistry, Physics, or a related discipline such as Mathematics or Computer Science, are encouraged to apply. The candidate is expected to have a strong