Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- European Space Agency
- Northeastern University
- Chalmers University of Technology
- SciLifeLab
- Forschungszentrum Jülich
- Ghent University
- INSERM
- Instituto Superior Técnico
- Instituto de Telecomunicações
- Lodz University of Technology
- Pennsylvania State University
- Rutgers University
- Technical University of Munich
- UNIVERSITY OF SYDNEY
- Umeå universitet stipendiemodul
- University of Oxford
- University of Southern Denmark (SDU)
- Wuhan University
- 8 more »
- « less
-
Field
-
Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic
-
(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
-
Quantum Information – Lx Work Objectives: The successful candidate will contribute to the ERC LESYNCH project. The aim of the work is to apply probabilistic methods and pseudo-random techniques to obtain
-
international collaborators. The group's interests cover a wide range of areas including extremal and probabilistic combinatorics, combinatorial optimization, graph theory, game theory, algorithmics and geometry
-
models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English
-
The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
-
Is the Job related to staff position within a Research Infrastructure? No Offer Description 2-YEAR POSTDOCTORAL POSITION AVAILABLE AT NEUROSPIN/INM (PARIS, FRANCE) https://computationalbrainteam.com/en
-
of expert-based quality documents for probabilistic reasoning models; Readiness assessment of industrial quality processes based on corporate data. WHAT WE ARE LOOKING FOR You hold a thesis-based doctorate in
-
modeling and probabilistic machine learning, tackling problems that arise in molecular systems and heterogeneous materials. Eine Postdoktorandenstelle im Bereich physik-informiertes generatives Modellieren
-
, probabilistic methods, or related areas. This project is part of an ambitious research program across the Schools of Civil Engineering and Project Management. The appointee will conduct original research