426 machine-learning "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sheffield
- KINGS COLLEGE LONDON
- University of Oxford
- University of Bristol
- University of Manchester
- Plymouth University
- University of Glasgow
- University of Nottingham
- UCL;
- University of Oxford;
- AALTO UNIVERSITY
- Ulster University
- UNIVERSITY OF VIENNA
- Imperial College London
- King's College London
- University of Cambridge;
- Aston University
- Heriot Watt University
- Swansea University
- University of Exeter;
- ;
- LIVERPOOL JOHN MOORES UNIVERSITY
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Birmingham
- University of Bristol;
- University of Exeter
- Imperial College London;
- Nature Careers
- The University of Manchester;
- University of Bath
- University of Cambridge
- University of West London
- DURHAM UNIVERSITY
- Durham University
- Loughborough University
- University College London
- University of Birmingham;
- University of Leeds
- University of Plymouth;
- VIN UNIVERSITY
- AMERICAN UNIVERSITY OF THE MIDDLE EAST
- Cardiff University
- Lancaster University
- NORTHUMBRIA UNIVERSITY
- Newcastle University
- The Institute of Cancer Research;
- The University of Edinburgh;
- The University of Manchester
- Ulster University;
- University of East Anglia
- University of East Anglia;
- University of London
- University of Warwick
- ABU DHABI UNIVERSITY
- Abertay University
- Abertay University;
- Bangor University
- Bournemouth University;
- Coretech Sciences
- Heriot-Watt University;
- Northumbria University
- Queen Mary University of London;
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- THE HEALTH SCIENCES UNIVERSITY
- THE HONG KONG POLYTECHNIC UNIVERSITY
- THE UNIVERSITY OF HONG KONG
- The Open University;
- UCL
- UNIVERSITY OF MELBOURNE
- University College London (UCL)
- University of Bath;
- University of Chester;
- University of Dundee
- University of Essex
- University of Essex;
- University of Leeds;
- University of Liverpool
- University of Nottingham;
- University of Strathclyde (UOS)
- University of Strathclyde;
- University of Warwick;
- University of West London;
- University of Worcester;
- University of the West Indies;
- jobs.ac.uk
- 77 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Biology
- Mathematics
- Education
- Science
- Materials Science
- Chemistry
- Earth Sciences
- Business
- Electrical Engineering
- Arts and Literature
- Environment
- Humanities
- Linguistics
- Physics
- Psychology
- Law
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
device health status through condition monitoring. AI techniques such as machine learning will be used to optimise gate driver performance and to map gate drive signal attributes to power device health
-
BSM processes. This will involve taking a lead role in developing dedicated software frameworks, including the implementation of machine learning techniques. A long-term attachment (6-12 months) and
-
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
-
of reinforcement learning or agent-based systems. LanguagesENGLISHLevelExcellent Research FieldComputer science » Computer systemsYears of Research Experience1 - 4 Additional Information Benefits • Full funding
-
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
-
+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
-
appropriate C7 Self-motivation, initiative and independent thought/working C8 Problem solving skills including a flexible and pragmatic appropriate Desirable: D1 A background in machine learning as applied
-
biology, engineering, biophysics, computer science) and experience in 3D imaging of brain tissue, image segmentation, and handling large datasets. You are comfortable with machine learning and image
-
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
-
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