Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Groningen
- NTNU - Norwegian University of Science and Technology
- University of Southern Denmark
- ; Newcastle University
- Curtin University
- Nature Careers
- Technical University of Munich
- ;
- Chalmers University of Technology
- Cranfield University
- DAAD
- Ghent University
- Linköping University
- Radboud University
- Technical University of Denmark
- Umeå University
- University of Adelaide
- University of Antwerp
- ; Brunel University London
- ; The University of Manchester
- ; University of Leeds
- ; University of Sheffield
- Aalborg University
- Erasmus University Rotterdam
- Forschungszentrum Jülich
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- Leibniz
- Lulea University of Technology
- Monash University
- Saarland University •
- SciLifeLab
- University of Alabama, Tuscaloosa
- University of Glasgow
- University of Texas at Austin
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- 27 more »
- « less
-
Field
-
. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. We strive to attract employees with different skills, life experiences and
-
of learnt features across the layers of various neural network architectures. -- Investigate the role of different types of layers (e.g., residual blocks, transformers) in shaping the learnt features and
-
involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
-
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
-
different backgrounds (one in deterministic optimization and algorithms, the other in stochastic optimization and simulation), to ensure you have immediate access to a broad area of relevant expertise within
-
mobility, user demands, wireless system deployment) as well as the digital world (such as networking, memory, computational resources for different applications). Information about the physical and digital
-
signal strength can be observed at different locations. Co-located Wi-Fi access points sharing the same spectrum compete against each other rather than collaborate to serve users. In this PhD position, you