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a modeling approach inspired by statistical physics to describe individual strategies, their interactions, and emergent effects at the group scale. The candidate will contribute to the development and
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models, assessing 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
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18 Jan 2026 Job Information Organisation/Company CNRS Department Biologie du Développement et Cellules Souches Research Field Biological sciences Computer science Mathematics Researcher Profile
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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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skills and/or experience desired: • in at least one, and preferably two, of the following areas: applied mathematics, particularly in nonlinear PDEs, theoretical physics (statistical physics and/or
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integrating a wide range of neutrino and dark matter models, and aiming to evaluate their effects on large-scale structure statistics (LSS), as measured by the power spectrum and bispectrum of galaxies
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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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) 3- Empirically challenging the concepts, their practical relevance, and our solutions through reanalysis of lineage tracing data, comparison of lineage tracing technics and algorithms, mathematical
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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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-resolved Lagrangian, Eulerian and pressure fields. This activity is inherently multidisciplinary with strong collaborations with other scientific fields, as applied mathematics or statistical physics. Fluid