49 machine-learning "https:" "https:" "https:" "https:" Fellowship positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- UCL;
- University of Nottingham
- Queen's University Belfast
- Plymouth University
- Aston University
- Imperial College London
- Nature Careers
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds
- Aston University;
- KINGS COLLEGE LONDON
- King's College London
- Lancaster University
- NORTHUMBRIA UNIVERSITY
- Northumbria University
- The University of Edinburgh;
- Ulster University;
- University College London
- University of Birmingham
- University of Bristol
- University of Bristol;
- University of Dundee
- University of Leeds;
- University of Oxford
- University of Sheffield
- University of Warwick;
- 16 more »
- « less
-
Field
-
-volatile memory that is seen as a potential candidate for the replacement of Flash and SDRAM memory. However, it is their ability to emulate the memory and learning properties of biological synapses and
-
The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model that can
-
Overview of the Role Are you experienced in machine learning and looking to apply your skills to solve new challenges and reduce disaster risk? Do you want to further your career in one of the UKs
-
The role The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model
-
Partnership between UCL and AstraZeneca and to work as part of a cross-disciplinary team across both sites (London and Cambridge). This post is focused on the use of machine learning models of protein
-
bring expertise in computational methods (such as machine learning, chemo-informatics, molecular dynamics simulation, structural biology) and / or experimental methods (such as biophysical analysis
-
in securing research funding is essential, as is demonstrable expertise in complex modelling techniques such as machine learning, network neuroscience, or related computational approaches. You will
-
environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how molecular structure, charge, and surface
-
and Telecommunications Architectures for Tectonic and Infrastructure Characterisation - https://ecstatic-project.eu/ ) The role will involve the development of advanced data analytic and machine
-
and not working in the care of people at the end of their lives https://fundingawards.nihr.ac.uk/award/NIHR167160 About the role The study is led by Associate Professor Susie Pearce at the University