Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Humboldt-Stiftung Foundation
- Nature Careers
- ;
- University of Luxembourg
- ; Max Planck Institute for Psycholinguistics
- ; The University of Manchester
- Aalborg University
- CWI
- Chalmers University of Technology
- Cranfield University
- Curtin University
- DAAD
- Justus Liebig University Giessen •
- Linköping University
- Lulea University of Technology
- Technical University of Darmstadt •
- The University of Chicago
- University of Antwerp
- University of Zurich Blockchain Center
- 9 more »
- « less
-
Field
-
use by the group employ multiple-input multiple-output (MIMO) technology and can be connected to build a distributed and cooperative network. To develop signal processing techniques, the group
-
socioeconomic-technical networks. These systems demonstrate sophisticated emergent properties across multiple dimensions: technical consensus, social trust, and economic power distribution. Our research
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
-
application! We are looking for a PhD student in Wireless Communication and Computer Vision. Your work assignments Point clouds (PCs) are sets of three-dimensional (3D) data points and their attributes
-
), sensing technologies (fiber-optic sensors, DIC), and computer science (machine learning tools). The aim of this Ph.D. project is to develop a novel bridge monitoring technique based on CLCE coating
-
experimental and computational methods, and should eventually promote our understanding of the potential drivers of language emergence in our species. Requirements What we expect from you: Essential A Masters
-
refine simulation tools and machine learning solutions to advance stroke treatment. This involves improving existing computational models that simulate cerebral blood flow, oxygen distribution, and brain
-
deep-rooted inequalities. Complexity arises in defining transport equity, as the choice of distributive principle significantly influences its measurement and outcomes. Therefore, it is still challenging
-
relevant to this project include a wide range of computational intelligence and ML techniques, distributed, multi-agent optimization, market-based coordination between agents, automated negotiation and