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modeling (Strasbourg) investing the role of sensorimotor beta bursts in predictive processing: align protocols, metadata, and analysis plans; contribute to cross‑species comparative work. * Advance and
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, statistics, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology
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models have recently been developed to specifically detect these biotic interactions using large phylogeny and trait datasets (see Drury et al. 2021). In this project, the Postdoc will study whether biotic
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collaboration with Michelin, is to develop surrogate models capable of rapidly approximating the simulator's results while accounting for uncertainty. Particular attention will be paid to the model's lightness
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of Research Experience1 - 4 Research FieldEnvironmental scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria - modeling of demographic dynamics in ecological communities
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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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, including variational auto-encoders, generative adversarial networks (GANs) and more recently probabilistic diffusion denoising models. On the other hand the CRIStAL laboratory has a strong expertise in
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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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molecular modeling and dynamics. Modeling and simulation of membrane systems. Writing of results for publication. Data handling. -The "Institut de Biologie Physico-Chimique", in association with the CNRS
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and SQUID), EEG and Eye Tracker data. - Analysis of the data collected, especially MEEG and behaviorals. - Compare the alignment between MEEG data, behavioral data, and acustic and semantic models