Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- ; The University of Manchester
- Technical University of Munich
- Cranfield University
- University of Cambridge
- ;
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Sheffield
- ; University of Warwick
- ; University of York
- Aalborg University
- Aarhus University
- Blekinge Institute of Technology
- DAAD
- ETH Zurich
- Fraunhofer-Gesellschaft
- Ghent University
- Imperial College London
- Lulea University of Technology
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- University of Adelaide
- University of Antwerp
- University of Groningen
- Uppsala University
- Wageningen University and Research Center
- 16 more »
- « less
-
Field
-
are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
-
About SecurEL SecurEL is a Centre for Environment-friendly Energy Research, facilitating a secure, resilient, and sustainable electricity distribution grid that ensures both the security of electricity
-
://cheddarhub.org The work is envisioned to have great impact on design and development of intelligent AI/ML orchestration algorithms in real 6G experimentation test beds. The applicant is envisioned to further
-
industrial partners and is partly externally funded by the KK Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods, algorithms, and tools
-
Astronomical Institute, the last 2 years at Tartu Observatory. The PhD research project has the purpose to analyze and combine the weblike distribution of galaxies in large galaxy redshift surveys, with
-
our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
-
seismicity and landslides. Application: Scaling up to assess the spatial distribution of long-term hydrological changes across Switzerland. As a final project goal stands the development of a real-time
-
algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
-
13.01.2020, Wissenschaftliches Personal PhD position at the Chair of Algorithms and Complexity. Candidate shall work on approximation algorithms for scheduling problems in parallel and distributed
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and