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rates. This PhD project focuses on developing a mathematical model to predict and analyze the effects of using a gene-drive strategy to control Schistosoma mansoni directly, rather than through its snail
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of territories, etc.). Modelling Urban Territorial Transformations of the Baltic Region: A Spatio-Temporal Computational Approach. (What is an Integrating Mathematics, Remote Sensing, and Geo-AI Simulation?) In
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28 Oct 2025 Job Information Organisation/Company CNRS Department Equipes Traitement de l'Information et Systèmes Research Field Engineering Computer science Mathematics Researcher Profile First
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science Mathematics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 7 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1
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University, is recognized for its expertise in artificial intelligence and formal methods In this stimulating academic context, we will focus on the problem of explainability of artificial intelligence models
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, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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. Activities: Development of mathematical models. Development of probabilistic inference algorithms. Code implementation, with a particular focus in Julia. Method validation. Application of models on curated
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and guide policy insights; ● Publishing methodological and applied findings, and presenting at international conferences. Your PhD will thus lie at the interface: you'll not only build mathematical
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). Knowledge : PhD in ecological modelling, statistics, mathematics, geographical projections. Fluency in English (written, read and spoken). Transverse skills : Project management, Methodology and analytical
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Targeted Project Complexflows, which aims to promote and structure the interactions of mathematics with other sciences around current issues. The thesis will be co-directed by F. Radjaï (LMGC, ED I2S 166