54 machine-learning-"https:" "https:" "https:" "https:" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Exeter
- University of Exeter;
- Swansea University
- University of Cambridge
- Loughborough University
- University of Birmingham;
- University of Nottingham
- Newcastle University
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Bristol
- University of East Anglia
- University of Sheffield
- University of Warwick
- AALTO UNIVERSITY
- 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 Strathclyde (UOS)
- 17 more »
- « less
-
Field
-
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
-
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
-
devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
-
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
-
of reinforcement learning or agent-based systems. LanguagesENGLISHLevelExcellent Research FieldComputer science » Computer systemsYears of Research Experience1 - 4 Additional Information Benefits • Full funding
-
+to+apply#Howtoapply-Eligibility ) a Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Cognitive Science, Psychology or a related field excellent knowledge in AI and at least one
-
Location: Central Cambridge PhD Studentship - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis
-
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
-
/PYTHON/R/C programming • Application of Machine Learning Algorithms Additional Information Benefits This scholarship covers the full cost of tuition fees, an annual stipend at UKRI rate (currently
-
) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in