Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Carnegie Mellon University
- NTNU - Norwegian University of Science and Technology
- CNRS
- Forschungszentrum Jülich
- Graz University of Technology
- IDAEA-CSIC
- IMDEA Networks Institute
- KNAW
- La Trobe University
- NTNU Norwegian University of Science and Technology
- Nord University
- Technical University of Munich
- The University of Alabama
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå University
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Exeter
- University of Melbourne
- 10 more »
- « less
-
Field
-
The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air
-
research the traffic-bounded pollution in Barcelona under the TRACE work frame (Traffic-Related Aerosol Characterization and Emissions). The focus will be to characterize the urban traffic aerosol with
-
complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly complex dynamic system. Minor disruptions can lead to major delays
-
Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
-
to conduct research on drone traffic control systems (UTM/U-Space systems), specifically to develop advanced services that automate flight authorization and negotiation with operators and pilots
-
preferred (Master’s degree or higher). Skills and Knowledge: Proficiency in programming, traffic simulation, statistical modeling, and machine learning/deep learning techniques. Excellent communication skills
-
to real GNNs that act as digital twins of communications networks (such as RouteNet) and other sectors (energy, traffic, agri-food chain). Publish the results in top-level conferences and journals
-
distributes and routes entangled photons in the presence of classical telecom traffic in multi-node quantum networks. Information Efficient distribution and routing of entanglement are indispensable for quantum
-
of compute processors. Today’s AI compute processors have multi-Terabit/s interfaces to share intermediate data for distributed training and processing, generating large traffic flows. Low and deterministic
-
international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes