Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Oxford
- UNIVERSITY OF VIENNA
- University of Cambridge
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- Heriot Watt University
- University of Glasgow
- University of London
- Durham University
- University of Birmingham
- University of Liverpool
- City University London
- Imperial College London
- Manchester Metropolitan University
- Nature Careers
- University of Nottingham
- ; Queen Mary University of London
- ; University of Cambridge
- ; University of Exeter
- Birmingham City University
- Cardiff University
- King's College London
- Nottingham Trent University
- Royal College of Art
- University of Bath
- University of Bristol
- University of Reading
- University of West London
- 19 more »
- « less
-
Field
-
Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research Associate: A PhD (or
-
) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
-
Associate: A PhD (or equivalent) in an area pertinent to the subject area, i.e. Computer Science, Machine Learning, Robotics. Research Assistant: A Master’s degree (or equivalent) in an area pertinent
-
50 Faculty of Life Sciences Startdate: 18.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 17.08.2029 Reference no.: 4247 Explore and teach
-
collaborate with two postdocs specialising in experimental mechanics and materials science and PhD students. About You You should have a PhD degree in Computational Mechanics or a relevant subject (e.g
-
About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
-
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
-
(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
-
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
-
, to the rigorous study of quantum many-body problems. The successful candidate is able to actively contribute to the research profile of the Faculty of Physics, teach courses (max. 4 hours/week per semester), and