Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- Durham University
- University of Cambridge
- University of London
- University of Liverpool
- King's College London
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Heriot Watt University
- Manchester Metropolitan University
- Nature Careers
- ; University of Oxford
- Imperial College London
- Royal College of Art
- University of Birmingham
- University of Nottingham
- ; University of Cambridge
- ; University of Kent
- Aston University
- University of Glasgow
- ; University of Southern Denmark
- Cardiff University
- Medical Research Council
- Oxford Brookes University
- University of Bath
- University of Lincoln
- University of Sheffield
- ; King's College London
- ; Nanyang Technological University
- ; Queen Mary University of London
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; The University of Manchester
- ; University of Copenhagen
- ; University of Exeter
- ; Xi'an Jiaotong - Liverpool University
- Birmingham City University
- City University London
- King’s College London (University of London)
- Lancaster University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nottingham Trent University
- Sheffield Hallam University
- St George's University of London
- Swansea University
- University of Leicester
- University of Manchester
- University of Newcastle
- University of Reading
- University of West London
- 43 more »
- « less
-
Field
-
small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and testing of original machine-learning based algorithms and models for multi-modal
-
acquired and will also be determined by the funding available. About you You should hold a PhD/DPhil, or be close to completion, of a relevant PhD/DPhil with a proven record of being able to learn and apply
-
(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
-
projects and publications from the group can be found here: https://www.kcl.ac.uk/research/pavri-group About the role The project is focused on combining artificial intelligence (AI)-based machine learning
-
superconducting qubits and millikelvin electronics Did you recently get your PhD in circuit quantum electrodynamics (cQED) and are now looking into taking the full potential of your skills into use for making new
-
interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach
-
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
-
researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
-
for a researcher interested in parasite biology for a wet-lab based role. Applicants should have (or be close to completing) a PhD in microbiology, biochemistry, molecular cell biology or a related field
-
will be educated to PhD level with relevant experience in molecular plant biology and evolution and will work closely with other group members to assist them with gene functional characterisation