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Numerical simulations Analysis of experimental data Laboratoire Jean Perrin Theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-006/Candidater.aspx Requirements Research
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at the IJM. This recently created team studies ancient genomes to better understand human evolution and its implications for biology and health. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
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to join the AI for Genome Interpretation (AI4GI) group at the IGMM (CNRS, Montpellier). The project is a collaboration between IGMM and IMAG, at the interface of genetics, bioinformatics, statistics
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researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
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well as next-generation ecological models that take uncertainty into account. The https://leca.osug.fr (LECA) is part of the University of Grenoble Alpes and the CNRS in France. Grenoble is located close to
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, scheduling, etc.). The contract may be renewed, up to a maximum total duration of 28 months. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5138-NEDKAC-007/Candidater.aspx Requirements
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of the project (https://anr.fr/projet-ANR-24-CE28-5107 ). Main Tasks • Development of a research axis: The recruited researcher will be responsible for leading the research axis focusing on the relationship
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
-Negative Matrix Factorization will be explored. The second challenge is to leverage the derived statistical models to design automated data-driven procedures for the estimation of epidemiological indicators
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the consequences of climate change and strengthen the resilience of mountain areas. The thesis will be based on a multidisciplinary approach combining statistical analysis, level-meteorological modeling, and machine