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ExperienceNone Additional Information Eligibility criteria • PhD in statistical genetics, bioinformatics, evolutionary genetics, or a related field (obtained or in progress) • Strong knowledge of statistical
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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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, 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
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - A PhD in mathematics/statistics/AI applied to ecological issues. - A strong publication record. - Proficiency in R and Python
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developing more complex coupling schemes. The aim is to improve the prediction of natural resources in sedimentary basins. The PhD must have been awarded no more than three years before the start of
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. Statistical analyses of these datasets in conjunction with hydrogeochemical data are also expected, with the goal of linking denitrification processes to hydrological, geological, and biogeochemical conditions
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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
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of the 2005 urban riots in France (https://doi.org/10.1038/s41598-017-18093-4 ). It will draw on data concerning these riots, the 2007 urban riots in the Ile-de-France region, and the Yellow Vests movement
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ExperienceNone Additional Information Eligibility criteria The postdoc should have a PhD degree in evolutionary biology, with expertise in bioinformatics, statistics, programming and/or modeling. Previous
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LevelPhD or equivalent Research FieldAgricultural sciences » AgronomicsEducation LevelPhD or equivalent Skills/Qualifications PhD required, good knowledge of data analysis methos, statistical analysis, QGIS