58 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" scholarships in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Exeter
- University of Exeter;
- Swansea University
- University of Cambridge
- University of Nottingham
- University of Birmingham;
- University of Sheffield
- Loughborough University
- Newcastle University
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Bristol
- University of East Anglia
- University of Warwick
- ;
- Abertay University
- Imperial College London;
- The Open University;
- The University of Edinburgh;
- The University of Manchester;
- UCL
- University of Bristol;
- University of Cambridge;
- University of East Anglia;
- University of Essex
- University of Nottingham;
- University of Oxford;
- University of Strathclyde (UOS)
- 19 more »
- « less
-
Field
-
in neuroimaging, applied data science and/or machine learning are desirable. Funding & how to apply The scholarship will fund course fees up to the value of home fees*, a tax-free stipend in line with
-
Department/Location: Department of Biochemistry, Central Cambridge PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based
-
quantum machine learning. https://research.manchester.ac.uk/en/persons/thomas.elliott/ https://scholar.google.co.uk/citations?user=sDInixMAAAAJ [scholar.google.co.uk] Applicants should have, or expect
-
administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours
-
The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatric care
-
of reinforcement learning or agent-based systems. LanguagesENGLISHLevelExcellent Research FieldComputer science » Computer systemsYears of Research Experience1 - 4 Additional Information Benefits • Full funding
-
computing and machine learning—unlocking new possibilities for precision metrology and non-destructive evaluation (NDE) in modern industry and healthcare. This PhD will push the boundaries of next-generation
-
Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
-
these barriers by putting together a world-leading data resource on suicide and self-harm, and powerful machine learning methodologies compatible with epidemiological principles to produce high-quality evidence
-
interest, narrowing the scope to natural or cultural sites, and integrating diverse remote sensing datasets. The supervisory team offers interdisciplinary expertise in geospatial analysis, machine learning