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Infrastructure? No Offer Description The postdoctoral researcher will apply the mathematical tools developed by the ANR TeMPlex project team to the study of simulated or observed hydrological dynamics, with
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ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria • PhD in Applied Mathematics, Data Science, or Statistics • Expertise in
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Prerequisites: PhD in applied mathematics or physics with a strong theoretical component Strong
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of Research ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria The successful candidate will hold a PhD in applied mathematics
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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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applied mathematics, physics, computer sciences or social sciences with outstanding skills in quantitative methods ; - Provable experience working with social media data, specially very large datasets (we
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18 Nov 2025 Job Information Organisation/Company CNRS Department Institut de mathématiques de Jussieu - Paris Rive Gauche Research Field Mathematics History » History of science Researcher Profile
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researcher will work at the IHPST (Institute for the History and Philosophy of Science and Technology) on the “AxDef” (Axiomatic Definitions) project funded by the ANR (French National Research Agency), under
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22 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Grenoble Research Field Engineering Computer science Mathematics Researcher Profile First Stage
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: PhD in engineering or related field, with post-doctoral research experience in flow and transport in porous media. - Know-how: Mathematical modeling, micro/milli-fluidic experimentation - Soft skills