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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus. LanguagesFRENCHLevelBasic
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Location: Paris, Ile-de-France 75 005, France [map ] Subject Areas: Mathematics / Probability, Mathematical Physics Statistical Physics / Statistical Physics Theoretical Physics / Mathematical physics
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expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience
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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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, France [map ] Subject Areas: Statistics Probability Statistical Physics Mathematics Machine Learning / Machine Learning Appl Deadline: 2025/12/21 04:59 AM (posted 2025/11/25 05:00 AM, listed until 2026
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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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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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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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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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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