Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London
- Queen's University Belfast
- Nature Careers
- UNIVERSITY OF SOUTHAMPTON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Nottingham
- CRANFIELD UNIVERSITY
- QUEENS UNIVERSITY BELFAST
- University of Cambridge
- University of Oxford
- ; King's College London
- ; University of Kent
- Birmingham City University
- Cranfield University
- Manchester Metropolitan University
- The University of Southampton
- UNIVERSITY OF MELBOURNE
- University of Glasgow
- University of Leeds
- University of Liverpool
- University of London
- University of Manchester
- University of Sheffield
- University of Stirling
- 18 more »
- « less
-
Field
-
Strong analytical skills and experience in developing and implementing machine learning/AI solutions using relevant languages and frameworks Excellent communication skills and proven ability to collaborate
-
of remote sensing data using physical, statistical and/or machine learning approaches Knowledge of the latest remote sensing techniques, key satellite missions (e.g. Copernicus) and their application
-
Are you keen to pioneer machine learning models that address the challenges of robot perception? We are recruiting a research fellow who will work on our EPSRC-funded research project on “Active
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
approaches, machine learning) where appropriate. The successful candidate will actively promote FAIR data practices and will have opportunities to contribute to teaching, training, and wider community
-
will a have a relevant PhD and medical degree alongside registration with the GMC at Specialist Registrar Garde or below. You will have a recent track record in histopathology and use of machine learning
-
looking for your next challenge? Do you have a background in machine learning or fluid dynamics and an interest in applying your skills to understand the dynamics of Earth’s fluid core and space-weather
-
medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts