Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nantes Université
- European Synchrotron Radiation Facility
- CNRS UMR6614 CORIA
- Centrale Lille Institut
- Centrale Supelec
- Ecole Centrale de Lyon
- IC2MP
- Institut National des Sciences Appliquées de Lyon
- Institut Pasteur
- Nature Careers
- Sorbonne University
- Sorbonne Université, CNRS, Inserm
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universite de Montpellier
- Université Sorbonne Nouvelle
- Université de Caen Normandie
- 8 more »
- « less
-
Field
-
of variable distributions [13,14]. Graphic neural networks (GNNs) are new inference methods developed in recent years and are attracting increasing attention due to their efficiency and ability in solving
-
the spatial and temporal distribution of lattice strain under realistic operating conditions. This can be achieved usingX-ray Diffraction Microscopy in the unique set-up at ID01.. This project will provide
-
to orchestrated sequences of API calls, data retrieval, and robotic actions across a heterogeneous and distributed ecosystem of IoT devices, drone services, and farm robots. Technically, the project will focus
Searches related to distributed
Enter an email to receive alerts for distributed positions