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The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
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is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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. The position is part of the research project "Neural networks for homomorphic encryption", funded by Inria. Fully homomorphic encryption (FHE) enables computations to be performed directly on encrypted data
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or equivalent Skills/Qualifications - PhD in bioinformatics or related subjects - Expertise in python coding - Experience and good understanding of neural networks and machine learning - Fluent written and spoken
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | about 2 months ago
the principals of open-science. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09545 Requirements Skills/Qualifications Strong background in recurrent neural networks (rate‑based
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"Physiology of Neural Networks" team and will be in charge of a research project aimed at understanding the mechanisms of integration of cerebellar information in pyramidal cells and interneurons of the motor
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
complexes. The successful candidate will develop novel graph neural network (GNN) architectures to learn dynamic information from molecular dynamics (MD) simulations of protein-protein and protein-nucleic
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Description Applications are invited for a postdoctoral position to study the neurocomputational mechanisms of information propagation in social networks. The Neuroeconomics group of Dr Jean-Claude Dreher
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on characterizing sleep phases, analyzing neural networks, and investigating disorders such as narcolepsy and REM sleep behavior disorder. Our projects explore a variety of techniques in transgenic rats and mice. Our
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algorithms that approach these limits. The project uses neural networks to design receivers for the nonlinear optical fiber channel. The project is funded by an ERC Starting Grant from the European Research