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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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), funded by the ANR (French National Research Agency), https://projet-anr-reach.math.cnrs.fr/ The host laboratory will be the Center for Analysis and Social Mathematics (CAMS https://cams.ehess.fr/ ), CNRS
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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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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - A PhD in mathematics/statistics/AI applied to ecological issues. - A strong publication record. - Proficiency in R and Python
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Experience1 - 4 Research FieldMathematics » AlgorithmsYears of Research Experience1 - 4 Additional Information Eligibility criteria - Mathematical and statistical proficiency, we are looking for candidates from
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
2 Dec 2025 Job Information Organisation/Company CNRS Department Laboratoire des sciences du numérique à Nantes Research Field Engineering Computer science Mathematics Researcher Profile Recognised
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Statistics (EPS), and Geometry, Topology, and Algebra (GTA). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5149-NATCOL-029/Candidater.aspx Requirements Research FieldMathematicsEducation
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps. The project emphasizes spectroscopic galaxy surveys—in particular
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lakes - Good knowledge of mathematical and statistical modeling methods in ecology - Proficiency in optical microscopy and flow cytometry tools - Very good knowledge of algal community identification