502 data-"https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" PhD scholarships in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- Newcastle University
- Cranfield University
- The University of Manchester
- University of Birmingham
- University of Warwick
- Loughborough University;
- University of East Anglia
- University of Cambridge
- University of Plymouth
- University of Surrey
- University of Exeter
- University of Birmingham;
- University of East Anglia;
- ;
- Imperial College London
- Swansea University
- University of Sheffield
- University of Strathclyde
- University of Warwick;
- Manchester Metropolitan University;
- UNIVERSITY OF VIENNA
- University of Nottingham;
- King's College London
- University of Bristol
- University of Cambridge;
- Newcastle University;
- University College London
- Manchester Metropolitan University
- The University of Manchester;
- University of Essex
- University of Exeter;
- University of Surrey;
- Cranfield University;
- UCL
- University of Essex;
- University of Leeds
- University of Reading
- University of Sussex
- Coventry University Group
- Harper Adams University
- King's College London;
- Lancaster University
- Lancaster University;
- Loughborough University
- Northeastern University London
- Oxford Brookes University
- Royal College of Art
- The Open University
- UWE, Bristol;
- University of Hertfordshire
- University of Lancashire
- University of Leeds;
- University of Manchester
- University of Oxford
- University of Sheffield;
- Abertay University
- Brunel University London;
- City St George’s, University of London
- City St George’s, University of London;
- Edge Hill University
- Hartpury University and College;
- Midlands Graduate School Doctoral Training Partnership
- Oxford Brookes University;
- Queen Mary University of London;
- SOAS University of London;
- Selden Society;
- The Open University;
- The University of Edinburgh
- The University of Edinburgh;
- UWE, Bristol
- Ulster University
- University of Bradford;
- University of Dundee;
- University of Greenwich
- University of Hertfordshire;
- University of Liverpool
- University of Liverpool;
- University of Oxford;
- University of Strathclyde;
- University of Sussex;
- University of Westminster;
- 72 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Chemistry
- Biology
- Materials Science
- Mathematics
- Humanities
- Linguistics
- Arts and Literature
- Business
- Electrical Engineering
- Psychology
- Science
- Design
- Physics
- Earth Sciences
- Environment
- Sports and Recreation
- Law
- Philosophy
- Social Sciences
- 13 more »
- « less
-
TypeFixed-termWorking TypeHybridAvailable for SecondmentNoClosing Date30-Apr-2026JD_Param11NoJD_Param12No Two 3.5 year PhD studentships in Artificial Intelligence in Medicine, or Health Data Science, funded
-
Studentship Information Supervisor: Professor Ian Fisk Secondary Supervisor: Dr Vincenzo di Bari, Dr Louise Hewson, Mui Lim Subject Area: Food Science Research Title: Sodium Reduction in Coated
-
energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage solutions
-
collaboration with process engineers (Adrian Oehmen, Nasim Amiralian, both UQ) to determine adsorption capacity, regeneration efficiency, and long-term stability, generating the performance data required
-
techniques employed include high-throughput cell based screening, flow cytometry and preclinical treatment models. Informatic approaches include data mining and manipulation of large pharmacogenomic matrices
-
. Further details about the project, eligibility and application process can be found in the Further Information document. PhD studentship: Recording nature and writing the self: time, entomology and the
-
Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
-
expression in the tumour. The models will be calibrated against pre-clinical data and compared to literature models that are based on ordinary differential equation systems without a description of spatial
-
with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
-
to learn from. Augment Data with Generative AI - You will use physics-constrained generative models (Diffusion models/GANs) to create a diverse library of synthetic microstructures, improving model