Sort by
Refine Your Search
-
Program
-
Employer
- ;
- University of Nottingham
- University of Leeds
- University of Oxford
- University of Cambridge
- Cranfield University
- King's College London
- QUEENS UNIVERSITY BELFAST
- CRANFIELD UNIVERSITY
- UNIVERSITY OF SURREY
- University of Liverpool
- Bournemouth University
- University of Surrey
- Aston University
- Medical Research Council
- Nottingham Trent University
- UNIVERSITY OF SOUTHAMPTON
- University of Glasgow
- University of London
- University of Stirling
- Birmingham City University
- Cardiff University
- DURHAM UNIVERSITY
- Durham University
- Lancaster University
- Plymouth University
- Queen's University Belfast
- University of Brighton
- University of Newcastle
- University of the West of England
- ; Imperial College London
- ; The University of Edinburgh
- ; UCL
- ; University of Cambridge
- EDINBURGH NAPIER UNIVERSITY
- Edge Hill University
- Edinburgh Napier University
- Goldsmiths
- John Innes Centre
- KINGS COLLEGE LONDON
- NORTHUMBRIA UNIVERSITY
- ROYAL HOLLOWAY, UNIVERSITY OF LONDON
- Staffordshire University
- The University of Southampton
- UK Dementia Research Institute
- UNIVERSITY OF DUNDEE
- UNIVERSITY OF THE WEST OF SCOTLAND
- University of Bath
- University of Exeter
- University of Hertfordshire
- 40 more »
- « less
-
Field
-
We are seeking a creative and enthusiastic senior researcher with expertise in state-of-the-art machine learning to work in a large and successful research group based at the University of Oxford’s
-
management based on using a machine learning approach. Hydration monitoring is a critical challenge in healthcare, impacting various groups such as athletes, soldiers, in extreme environments, individuals and
-
/6GIC), is looking to recruit a Research Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving
-
machine learning, bioinformatics, sequencing and microbiology. This role is available on a fixed term basis until 31st May 2027. Hours of work are full time (36.25 hours). Job share arrangements may be
-
A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on research in the fields of machine learning, hydrology, and water resources management at various
-
Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project represents a
-
the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a
-
the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a
-
on the creation of Digital Twin environments that enable simulation based learning of navigation policies. Together with the project team, the RA will travel to client sites to scan workspaces with specialized
-
together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs that are conducive to successful completion of the problem at hand