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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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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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Mathematics » Mathematical analysis Mathematics » Mathematical logic Mathematics » Number theory Mathematics » Probability theory Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country
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silico identification of candidate developmental pathways explaining tradeoff variation. Contribute to advanced statistical analyses and interpretable machine learning approaches (in collaboration with
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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5 Jan 2026 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Physics » Computational physics Physics » Statistical physics Researcher Profile
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Polytechnique de Paris. The group conducts research at the intersection of statistical learning, machine learning, and data science, with a strong focus on structured data, representation learning, and
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postdoctoral researcher with a PhD in HRMS-based exposomics, advanced analytical chemistry, or a related field. The successful candidate will have demonstrated experience working both independently and
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of Learning and Development (LEAD- UMR-5022), at the Université Bourgogne Europe, CNRS (https://lead.ube.fr/ ) . To apply, please submit: - CV - Cover letter describing your interest in the position
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, which combines tools from probability, statistics, PDEs, and extreme-value theory to address climate-related questions. Qualifications: Completed PhD degree in Mathematics, with a solid background in at