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Field
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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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pollution and its impacts. In the OSEAMS project, the postdoctoral researcher will mainly work with zero-dimensional box models, using historical atmospheric observation data to analyze the drivers of ozone
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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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.) together with advanced artificial intelligence methods. The main objectives are to: ➔ design and experiment with multimodal AI models to improve the diagnosis and prediction of battery aging; ➔ explore and
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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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-time postdoctoral grant in Probability and Statistical Physics - CY Cergy Paris University Mathematical modelling of complex systems often involves combining deterministic structures with probabilistic
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of assemblies in the developing and adult CA1 region. It also involves working with Dr. Fontolan to develop a computational model that explains the benefits of developmental constraints on the organization