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emerging models by collaboratively exploring various computation models leveraging physical devices properties. This PhD work will focus on FPGA devices in order to build an accelerated spiking neural
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. The work will be part of a European project on the creation of a secure chip for IoT systems and in collaboration with the phd student that work on the project for two years now. The main objective
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contraintes strictes de consommation énergétique (quelques mW maximum) et de dissipation thermique, rendant l'utilisation des circuits conventionnels (FPGAs, DACs/ADCs) inadaptée. Les architectures actuelles
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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
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. Investigate and promote new technologies and solutions pertinent to our activities. Expected profile Master's degree (or equivalent, 300 ECTS) in electronics or a related field; PhD is a plus. Around 10 years