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temperatures at CEA-LETI. Circuits functions that are targeted for design and fabrication using the available design environments include RF LNA amplifiers, passive filters and analog signal generators working
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pulses, and an ultra-fast nanophotonic neuron for stimulus integration. This will enable us to consider a new hybrid photonic-optomechanical platform for integrated neuromorphic computing in order to
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27 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire de Biométrie et Biologie Evolutive Research Field Biological sciences Environmental science Researcher Profile First Stage Researcher (R1) Country France Application Deadline 16 Sep 2025 - 23:59 (UTC) Type of...
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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& Nanotech platforms, and EPFL's NeuroTech labs). Profile Sought We welcome motivated candidates with a strong background in: • RF circuits / analog electronics • Electromagnetics / antenna design • Wireless
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three decades has demonstrated that new neurons can be generated in the adult brain and integrate into complex pre-existing circuits. The process of adult neurogenesis is evolutionarily conserved across
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heterostructures of mono- and bilayer graphene, and superconducting junctions. The team is well integrated in the laboratory, with several ongoing collaborations with other research groups. The Institut NEEL is a
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alternatives thanks to gene circuits/cascades capable, for example, of finely adjusting gene expression. The thesis project is part of a collaboration between SPPIN and ENS in Paris and aims to develop a
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of neural circuits essential for adaptation. The successful candidate will explore the dynamics of neural populations in key brain regions for decision-making and behavioral control: the frontal cortex and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months ago
workflow based on this kind of platform: Analog Audio Inputs/Microphones → DNN Inference on Embedded NPU → Analog Audio Outputs/Speakers. In a second phase, various classes of algorithms will be run