Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Loughborough University
- Newcastle University
- University of Birmingham
- UCL
- University of Exeter
- University of Exeter;
- University of Nottingham
- ;
- Bangor University
- University of Cambridge
- University of East Anglia
- University of Sheffield
- University of Warwick
- Imperial College London;
- KINGS COLLEGE LONDON
- King's College London
- Kingston University
- Newcastle University;
- Oxford Brookes University
- Swansea University;
- The University of Edinburgh
- The University of Manchester
- The University of Manchester;
- University of Birmingham;
- University of Bristol;
- University of Cambridge;
- University of East Anglia;
- University of Hull
- University of Hull;
- University of Nottingham;
- University of Oxford
- University of Oxford;
- University of Surrey
- 24 more »
- « less
-
Field
-
benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a
-
, please select ‘Loughborough’ and select Programme ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number * CSC-26-WS * in your application under the ‘Finance’ section
-
(Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as your Personal statement, and
-
Microfluidics and lateral flow assay engineering Translational diagnostics and AMR-focused assay development Digital image analysis and Python-based data processing The project includes opportunities
-
well as reliability in extracting target features. The project covers UK tuition fees and the standard UKRI PhD stipend and it is co-funded by the Quantum Hub in Sensing, Imaging and Timing (QuSIT) and BAE Systems
-
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
-
have the opportunity to develop their computational modelling capabilities in this project, alongside learning new skills such as testing on biological tissues and medical image processing
-
across different imaging devices, including future sensors with unknown spectral sensitivities. Training The student will be based at the Colour & Imaging Lab at the School of Computing Sciences which has
-
consider the use of ultra-stable photonic and Quantum timing sources. The project covers UK tuition fees and the standard UKRI PhD stipend and it is co-funded by the Quantum Hub in Sensing, Imaging and
-
capabilities to match the real outcome as closely as possible. Entry Requirements Acceptable first degree - Computer Science, Engineering, Physics or Mathematics. The standard minimum entry requirement is 2:1