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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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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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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
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research in model theory within the ANR
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simulations (integrated modelling) can be used to better understand the dependencies obtained in scaling laws and better constrain them beyond the existing experimental space. This is the goal of the present