Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- Imperial College London
- University of Birmingham
- University of Cambridge
- King's College London
- University of London
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF VIENNA
- University of Nottingham
- CRANFIELD UNIVERSITY
- Heriot Watt University
- Queen's University Belfast
- University of Newcastle
- University of Sheffield
- Durham University
- University of Bristol
- University of Glasgow
- University of Liverpool
- University of Manchester
- ; University of Kent
- QUEENS UNIVERSITY BELFAST
- The University of Southampton
- University of Bath
- ; King's College London
- ; Maastricht University
- ; Technical University of Denmark
- ; The University of Edinburgh
- Bangor University
- Birmingham City University
- City University London
- Cranfield University
- Manchester Metropolitan University
- Medical Research Council
- Nottingham Trent University
- Swansea University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF MELBOURNE
- University of Leeds
- University of Reading
- University of Stirling
- University of West London
- 36 more »
- « less
-
Field
-
TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring technologies that enable robotic
-
properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work
-
Introduction 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
-
About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
-
We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
-
the ability to develop novel theory. They must also have strong development skills, to enable them to lead the process of prototyping new interactive systems with sensors, build machine learning
-
2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
-
networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
-
Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
-
agents, including uncertainty quantification at the agent’s level. The project will bring together ideas from Statistics, Probability, Statistical Machine Learning, Statistics and Game Theory and is an