Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
combine high-level research with the development of innovative solutions to promote a sustainable mindset and practices. By integrating expertise from multiple disciplines and fostering international
-
the DC will use pore-scale direct numerical simulations (based on the lattice-Boltzmann method) to enable the precise quantification of mass transport within electrode microstructures, reconstructed via X
-
. The DC will use pore-scale direct numerical simulations (based on the lattice-Boltzmann method) to enable the precise quantification of heat transport within noobed electrode microstructures, to then
-
take place at multiple locations across Sweden; a driver’s license is therefore required. Within this project, the successful candidate will work and participate in an active research environment, and must be
-
Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months ago
arithmetic cores for FPGAs). The team hosts 6 faculty, 6 PhD students, 3 postdocs, 2 engineer, and multiple research interns. Additional information can be found on team website: https://team.inria.fr/emeraude
-
, this research project will focus specifically on how multiple grid converter-interfaced assets should be controlled and coordinated in an inertia-less (or almost inertia-less) isolated power network, to ensure
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
realistic impairments in terms of hardware, propagation environment, and sensing imperfections. AirComp is a novel technique that harnesses the interference in wireless multiple access channels
-
machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest ideas using historical
-
machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest ideas using historical