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LanguagesFRENCHLevelBasic Research FieldMathematicsYears of Research ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria PhD in mathematics
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-atmosphere coupled dynamics in tropical regions. • In-depth knowledge of applied mathematics/AI and numerical modeling. • Previous experience in paleoclimate data assimilation and proxy modeling required
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of Brice Bathellier (Institut Audition), Virginie van Wassenhove (NeuroSpin), and Mehrdad Jazayeri (MIT). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/SNC9138-SRDOST-008/Candidater.aspx
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8243-TIFKON-004/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Research
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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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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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Engineering with an interest in Computer Science (AI, programming) or PhD in Computer Science with an interest in industrial topics. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8201
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), with collaboration from PhD students and external partners. The researcher will benefit from an active local community in AI and access to GPU computing infrastructure. Where to apply Website https
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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