Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Cambridge
- University of Oxford
- AALTO UNIVERSITY
- Imperial College London
- University of Newcastle
- Brunel University
- University of Sheffield
- KINGS COLLEGE LONDON
- University of Nottingham
- Heriot Watt University
- University of Liverpool
- ; University of Cambridge
- Brunel University London
- Durham University
- Heriot-Watt University;
- Nature Careers
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of Cambridge;
- University of Glasgow
- University of Leicester
- University of London
- 14 more »
- « less
-
Field
-
, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community ’ s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all
-
future. Aalto has six schools with 14 000 students and a staff of 5000, of which more than 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
-
Fixed-term: The funds for this post are available for 12 months A position is available for a Postdoctoral Research Associate (Postdoc) in the forthcoming Aspirational Computing Lab in
-
, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community ’ s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all
-
The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
-
The role The post is part of the Wellcome Discovery Award research programme “Collective Action for Race Equity in Health and Social Care”, which aims to address and dismantle structural factors
-
Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
-
Full time research associate with the opportunity to work fully funded for 18 months on ultrasound data transmission across a metal barrier. The research is based on finite element and analytical
-
the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in