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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 4 days ago
the Sierra project team (https://www.di.ens.fr/sierra/ ) within the Inria Paris (https://www.inria.fr/en/inria-paris-centre ) to work under the supervision of Adrien Taylor and Aymeric Dieuleveut (http
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, France [map ] Subject Areas: Mathematics Statistics Probability Statistical Physics Machine Learning / Machine Learning Appl Deadline: 2025/12/20 11:59PM (posted 2025/11/25, listed until 2026/05/25
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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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, France [map ] Subject Areas: Probability ; Statistics Appl Deadline: 2026/01/11 11:59PM (posted 2025/12/08, listed until 2026/01/18) Position Description: Apply Position Description Vacancy: 2-year full
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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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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 7 hours ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and
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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