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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The activities of the PHABIO group focus on developing models and acquiring biological
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to investigate the parameters that control the triggering, speed and geometry of magmatic intrusion events at mid-ocean ridges, using dynamical models constrained with seismo-geodetic observations
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), whose objective is to extend the HLA-Epicheck model, originally developed within the framework of a PhD thesis, and to implement new deep learning approaches to assess donor–recipient compatibility in
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13 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire pour l'utilisation des lasers intenses Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 3 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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tools, Earth foundation models, and a good working knowledge of modeling approaches in ecology. In particular, we are looking for someone interested in developing hyperspectral data analysis pipelines and
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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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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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combines multimodal neuroimaging with computational modeling to characterize the neural mechanisms underlying human social decision making. The focus of this project will be to unravel the neurocomputational
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combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
model, both variational estimators and Monte Carlo samplers have been designed and implemented during the pandemic to estimate the reproduction number of the Covid19. The major bottleneck