Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Argonne
- Bucharest Universty of Economic Studies
- Oak Ridge National Laboratory
- Technical University of Munich
- National Aeronautics and Space Administration (NASA)
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Aalborg University
- Cornell University
- DURHAM UNIVERSITY
- KINGS COLLEGE LONDON
- Technical University of Denmark
- UNIVERSITY OF HELSINKI
- University of Luxembourg
- Brookhaven National Laboratory
- CNRS
- Duke University
- Durham University;
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Fondazione Bruno Kessler
- IMT Mines Ales
- Karlstad University
- Linköping University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Mälardalen University
- Nature Careers
- Rutgers University
- Singapore-MIT Alliance for Research and Technology
- Texas A&M University
- UNIVERSITE ANGERS
- Universidade do Algarve
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University College Dublin
- University of Colorado
- University of Twente
- University of Utah
- University of Washington
- 27 more »
- « less
-
Field
-
Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile
-
to be developed: Analyze iEEG data. Develop multimodal algorithms. Perform the characterization of the epileptogenic network. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
-
distributed decision-making. The second theme is on Quantum Communications and Networking. It includes investigation of theoretical and algorithmic aspects of quantum communication systems, such as quantum
-
development of transferable learned representations from large-scale public omics data and metadata, and the software infrastructure needed to build, maintain, and distribute them at community scale, including
-
and Key Distribution, Spectrum Management and Coexistence, Tactile Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise
-
tree. In fact, the problem being NP-hard, a handful of aircraft is enough to make it unsolvable in polynomial time. The work requires theoretical studies on the state of the art, together with algorithm
-
. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
-
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
-
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
-
scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising data, energy, and processing resources while adapting to the different computational