489 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" PhD scholarships in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- Newcastle University
- The University of Manchester
- Cranfield University
- University of Birmingham
- University of Warwick
- Loughborough University;
- University of Cambridge
- University of Surrey
- University of East Anglia
- University of Sheffield
- University of East Anglia;
- University of Birmingham;
- ;
- Imperial College London
- Manchester Metropolitan University;
- Swansea University
- UNIVERSITY OF VIENNA
- Manchester Metropolitan University
- Newcastle University;
- The University of Manchester;
- University of Bristol
- University of Exeter
- University of Leeds
- University of Strathclyde
- King's College London
- University College London
- University of Cambridge;
- University of Essex
- University of Nottingham;
- University of Warwick;
- Cranfield University;
- King's College London;
- Loughborough University
- Oxford Brookes University
- The Open University
- University of Essex;
- University of Sussex
- Lancaster University
- Lancaster University;
- Northeastern University London
- Oxford Brookes University;
- Royal College of Art
- UCL
- UWE, Bristol;
- Ulster University
- University of Hertfordshire
- University of Lancashire
- University of Manchester
- University of Oxford
- University of Plymouth
- University of Reading
- University of Sheffield;
- University of Strathclyde;
- University of Surrey;
- University of Westminster;
- Abertay University
- Birmingham City University
- Brunel University London;
- City St George’s, University of London
- City St George’s, University of London;
- Edge Hill University
- Harper Adams University
- Hartpury University and College;
- Midlands Graduate School Doctoral Training Partnership
- Queen Mary University of London;
- SOAS University of London;
- Swansea University;
- The Open University;
- The University of Edinburgh;
- UWE, Bristol
- University of Bradford;
- University of Dundee;
- University of Exeter;
- University of Greenwich
- University of Hertfordshire;
- University of Kent
- University of Leeds;
- University of Liverpool
- University of Liverpool;
- University of Oxford;
- University of Strathclyde (UOS)
- University of Sussex;
- 73 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Chemistry
- Materials Science
- Biology
- Mathematics
- Linguistics
- Arts and Literature
- Science
- Humanities
- Psychology
- Business
- Electrical Engineering
- Design
- Earth Sciences
- Physics
- Law
- Social Sciences
- Sports and Recreation
- Education
- Environment
- Philosophy
- 14 more »
- « less
-
’ using the programme code: 8209F Select ‘PhD Water Infrastructure & Resilience (WIRe)' as the programme of study You will then need to provide the following information in the ‘Further Questions’ section
-
Distinction at postgraduate level) and experience conducting research with human volunteers. Experience with quantitative data analysis or experience with coding/programming is desirable, as is knowledge
-
awards for Black, Asian and Minority Ethnic students and for Kingston University alumni. We are looking for students with expertise that matches our areas of research excellence. More information on our
-
. The candidate must have or be willing to learn computational methods for data analysis. The studentship covers fees at the Home rate, International fees are not covered. How to apply You must apply through
-
· Select ‘PhD Water Infrastructure & Resilience (WIRe)' as the programme of study You will then need to provide the following information in the ‘Further Questions’ section: · a ‘Personal Statement
-
as the advert will be removed once the position has been filled. As AI systems scale, privacy, security, and trustworthiness emerge as challenges. For instance, private data may be leaked during model
-
status. Successful candidates will be assumed to be starting their studies in October 2026 unless there are exceptional circumstances approved by KOM and the relevant university. Important information
-
and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits
-
click on the 'Apply' button above. For further information about the Wheeler Programme, please contact Dr Tom Simpson or for application advice or support, email PG History Office . Funding Details
-
are the social, environmental, and economic costs of those responses? The project will involve collecting and analysing transport-related data from a variety of sources. By combining sensor and camera observations