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. - Explore the response to controlled forces. Positioning of Magali SUZANNE's team within the MCD unit: We are interested in the process of morphogenesis and seek to understand how organs acquire
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decision systems for pricing and market strategies. In particular, algorithmic repricing tools allow real-time price adjustments based on predefined rules or machine-learning techniques. While recent
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and signal processing, machine learning is now a global field supported by major international conferences such as AISTATS, NeurIPS, ICML, and MVML. Applying these methods to the study of Paleolithic
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are seeking a candidate holding a Master 2 degree in computational biophysics, structural bioinformatics, or a related field. Knowledge of statistical mechanics and/or machine learning would be an asset
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: In-depth mastery of techniques in structural and molecular biology, biochemistry, cell biology, and immunology is essential. Proficiency in using computer tools and software dedicated to data
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the fiber-fiber bonds mechanics using physical and chemical processing routes. The recruited postdoctoral researcher will contribute to this project. She/He will be in charge of (i) characterizing
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, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
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of processing routes for advanced ceramics and surface treatments, with the aim of developing materials and components with tailored properties for demanding applications. SAFRAN is a leading French international
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data) will help validate observations and refine predictive models. Automated monitoring tools (scripts, dashboards, alerts) incorporating machine learning algorithms or statistical methods will be
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been proposed: traditional computer‑algebra methods [3], reduction of the problem modulo a prime p [6, 2], and symbolic‑numeric methods [4, 1]. This postdoc proposal concerns the second modular approach