56 distributed-algorithm-"Newcastle-University"-"Newcastle-University" Postdoctoral positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- King's College London
- UNIVERSITY OF VIENNA
- DURHAM UNIVERSITY
- Durham University
- ;
- Heriot Watt University
- The University of Edinburgh;
- University of Liverpool
- University of Oxford;
- City University London
- Heriot-Watt University;
- Lancaster University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Cambridge
- University of Cambridge;
- University of Liverpool;
- 9 more »
- « less
-
Field
-
. You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems. An excellent scientific track record proven
-
is concerned with the mathematical problem of comparing and interpolating distributions of mass, for example probability distributions. The concept has lately gained increasing interest from
-
Analysis for Stable AI” funded by a European Research Council Advanced Grant. The Opportunity: This postdoctoral position will be devoted to research on algorithms in Artificial Intelligence (AI) from
-
modelling are essential. Experience with healthcare data, algorithmic fairness, or deep learning for biomedical data will be advantageous. The successful candidate will contribute to high-impact publications
-
. The BASP laboratory is developing cutting-edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine. Dr Wiaux is a Professor in the School
-
research for understanding the learned algorithms in brains and machines. The post holder will provide guidance to less experienced members of the research group, including postdocs, research assistants
-
responsibility for carrying out research for understanding the learned algorithms in brains and machines. The post holder will provide guidance to less experienced members of the research group, including postdocs
-
navigation algorithms and machine learning models on physical robot platforms. We are particularly interested in candidates with expertise in generative AI and curriculum learning applied to robotics, as
-
to advanced control design and system optimization. Our specialty is developing embedded control, estimation, and identification algorithms that directly interface with physical hardware. We work closely with
-
Edinburgh based team of Sandy Hetherington to lead efforts to quantitively characterise key morphological characteristics of fossil plants and assemble data on their ecology and global distribution