193 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Birmingham
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds;
- UCL;
- University of Leeds
- University of Oxford
- University of Nottingham
- King's College London
- CRANFIELD UNIVERSITY
- Cranfield University;
- The University of Southampton
- KINGS COLLEGE LONDON
- UNIVERSITY OF MELBOURNE
- Cranfield University
- Plymouth University
- UNIVERSITY OF SURREY
- University of Oxford;
- ;
- Ulster University;
- University of Cambridge
- University of Exeter;
- University of Hertfordshire;
- University of London
- University of Nottingham;
- University of Warwick;
- Bangor University
- Cardiff University
- Cardiff University;
- De Montfort University;
- Falmouth University
- Imperial College London
- Imperial College London;
- London School of Hygiene & Tropical Medicine;
- Middlesex University;
- Nature Careers
- Northumbria University
- Nottingham Trent University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast;
- Royal Holloway, University of London;
- The Francis Crick Institute;
- The King’s Foundation;
- UCL
- UWE, Bristol;
- University of Birmingham;
- University of Liverpool
- University of Stirling
- University of Stirling;
- University of Surrey
- University of Surrey;
- University of Sussex;
- University of the West of England
- York St John University;
- 44 more »
- « less
-
Field
-
laboratory scientists, computational biologists, and clinical academic colleagues, running computer simulations and testing predictions in the lab. About you You should be highly motivated, and ambitious
-
• A comprehensive range of childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of
-
holder must have: Expertise in advanced theoretical and computational electromagnetics, including high frequency asymptotics. Expertise in artificial intelligence and machine learning. Recent research
-
computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world
-
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
-
deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications
-
machine learning with rigorous statistical methods to address fundamental questions in cosmology and beyond. The research aims are to develop novel inference frameworks for cosmology and apply them
-
deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications
-
, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
-
transformations. Combining automated reaction discovery simulations, microkinetic modelling, machine learning, and global optimization, this project will develop a new and exciting route to addressing one