Sort by
Refine Your Search
-
Listed
-
Employer
- UNIVERSITY OF VIENNA
- University of Oxford
- ;
- AALTO UNIVERSITY
- University of Cambridge
- Durham University
- DURHAM UNIVERSITY
- Heriot Watt University
- KINGS COLLEGE LONDON
- ; The University of Edinburgh
- ; University of Oxford
- City University London
- King's College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of London
- University of Sheffield
- ; CRUK Scotland Institute
- ; Imperial College London
- ; University of Cambridge
- Cardiff University
- European Magnetism Association EMA
- Imperial College London
- Nature Careers
- University of Birmingham
- University of Liverpool
- 15 more »
- « less
-
Field
-
postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive range of opportunities and initiatives designed to provide an exceptional launchpad
-
developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
-
40 Faculty of Historical and Cultural Studies Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4157
-
We are seeking to recruit a motivated postdoctoral researcher in Verification and Game Theory. You will enjoy developing algorithms, lower bounds, and possibly proof-of-concept implementations
-
to work on meaningful projects with direct clinical relevance. About the role In this role, you will develop and implement computer vision and deep learning algorithms to analyse CT and MRI data from
-
2022, PMID: 36462505). The research will be conducted in a friendly and supportive atmosphere with access to outstanding facilities and within a vibrant postdoc community. The applicant should hold, or
-
learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key challenges in
-
developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
-
machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
-
fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot