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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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: - Proficiency in social network analysis and data harvesting - Experience in documentary production and/or image analysis - Experience in conducting photo/video elicitation interviews - Experience with
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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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subcellular localization or actin dynamics, the candidate will investigate the impact of mitochondrial activity and the actin network on germ granule functional organization. - Drosophila genetics - Molecular
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biophysical network models of The Virtual Brain (TVB) type, we aim to mechanistically explain patient heterogeneity and identify prognostic biomarkers. This is a high-impact, interdisciplinary project bridging
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currents on plankton diversification. (S)he will study the connectivity of water masses using a lagrangian approach and design a population genetic model on the connectivity network. - Lagragian
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(CY Cergy Paris Université, AGM) and Marie Kratz (ESSEC, IDO dept. & CREAR), to contribute to the development and analysis of models within this broad framework. Located in the Paris area, the AGM
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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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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
?." arXiv preprint arXiv:1903.03063 (2019). [4] "Modern Random Access for Grant-Free Cellular Networks," C. Adjih, Tutorial, https://indo-french-seminar-6g.github.io/slides/Modern_Random_Access_for_Grant
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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