Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; Brunel University London
- Imperial College London
- KINGS COLLEGE LONDON
- ; City St George’s, University of London
- ; Imperial College London
- ; King's College London
- ; London South Bank University
- ; Queen Mary University of London
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; University of Greenwich
- King's College London
- UNIVERSITY OF EAST LONDON
- University of East London
- 5 more »
- « less
-
Field
-
We are excited to offer two, fully funded PhD studentships as part of a collaboration between King’s College London and the UK Health Security Agency (UKHSA). 1st supervisor: Professor James
-
We are excited to offer this fully funded PhD studentship. 1st supervisor: Professor James Rubin (gideon.rubin@kcl.ac.uk ) 2nd supervisor: Dr Alex Martin (alex.f.martin@kcl.ac.uk ) The studentship
-
Applications are invited for a PhD studentship focusing on the discovery of dehalogenase enzymes for pesticide detection and removal. The student will be based in the Department of Chemistry
-
Applications are invited for a PhD studentship in the Centre for Human-Computer Interaction Design, based in the Department of Computer Science. The successful candidate will undertake PhD research
-
PhD programme within QMUL’s Wolfson Institute of Public Health, under the supervision of Dr Giuliano Russo (WIPH) and Prof. Pietro Panzarasa (School of Business and Management). As part of the project
-
Applications are invited for a fully funded, full-time PhD studentship in the Department of Mechanical and Aerospace Engineering, supported by Vestas Technology (UK) Ltd, one of the largest wind
-
Salary Funding covers tuition fees (approx. £5-8k per year) and a tax-free living allowance for 3 years (approx. £22-£24k per year if studying full time. Fully funded PhD place at ISEY - Institute
-
We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only
-
. Verifying this against real world scenarios and processes is a key milestone in the further development of this code for industrial application. This PhD covers a wide range of skills and so it is essential
-
We invite applications for a fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is available to UK (Home) candidates only