Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- Argonne
- University of Utah
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Cornell University
- DURHAM UNIVERSITY
- Eindhoven University of Technology (TU/e)
- European Space Agency
- KINGS COLLEGE LONDON
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Oak Ridge National Laboratory
- Technical University of Denmark
- UNIVERSITY OF HELSINKI
- University of Washington
- ;
- Aalborg University
- Aarhus University
- Brookhaven National Laboratory
- CNRS
- Durham University;
- Fondazione Bruno Kessler
- IMT Mines Ales
- Inria, the French national research institute for the digital sciences
- King's College London
- Rutgers University
- Singapore-MIT Alliance for Research and Technology
- Texas A&M University
- The Rockefeller University
- Umeå universitet stipendiemodul
- Universidade do Algarve
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University College Dublin
- University of Luxembourg
- University of Oxford
- University of Southern Denmark
- University of Twente
- University of Twente (UT)
- 28 more »
- « less
-
Field
-
algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization in Quantum Networks: Algorithm Design and Analysis", working with Dr
-
algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project “Utility Optimization in Quantum Networks: Algorithm Design and Analysis”, working with Dr
-
on the design and performance analysis of resource allocation algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization
-
methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
-
scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising data, energy, and processing resources while adapting to the different computational
-
algorithms aimed at predicting pathogen potential based on whole or partial genomes. You will also be responsible for integrating such tools into online accessible pipelines thus, providing the possibility
-
and resilience across heterogeneous computational resources while addressing workflow requirements for scientific applications. Validate distributed intelligence algorithms at scale on ORNL's
-
, and evaluation in distributed and privacy-aware settings. While the position is supported by an AI for Science project on privacy-preserving federated learning, the broader objective is to advance
-
verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile Internet, Earth Observation, and
-
energy goals. ESIA also develops, deploy, and advance grid technologies that ensure a robust and secure U.S. grid transmission and distribution system. We collaborate with government agencies as