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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Versailles, le de France | France | 2 months ago
the epigenetic marking of new DNA sequences, (ii) how these chromatin marks help instruct the silencing of the RNA transcribed by these sequences, and (iii) which actors regulate the propagation of the RNAi
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law for strain gradient plasticity. Journal of the Mechanics and Physics of Solids, 46(3), 411-425 Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7239-THIRIC-003/Default.aspx
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University of Savoie Mont Blanc (USMB) that brings together expertise in machine learning and information fusion, as well as networks and systems. It develops methods for processing and managing data in
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or equivalent Specific Requirements Rigorous scientific attitude and collaborative spirit Willingness to learn French LanguagesENGLISHLevelGood Additional Information Work Location(s) Number of offers
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production tasks toward a role of regulator, coordinator, or even supervisor of the flexible production machine system. In the first phase, our objective is to capitalize on the information we have gathered
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: EDPs2 (Partial Differential Equations: Deterministic and Probabilistic Studies), Geometry, and LIMD (Computer Logic and Discrete Mathematics). This diversity of research topics within a single laboratory
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support for your relocation to Grenoble For further information on employment terms and conditions, please refer to https://www.esrf.fr/home/Jobs/what-we-offer.html The ESRF is an equal opportunity employer
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days' annual leave, including RTT, for full-time work Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3228-ALEGAS-062/Candidater.aspx Requirements Research FieldMathematicsEducation
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Office for Biodiversity (OFB, Research and Scientific Support Directorate) in collaboration with the Jura and Ain Departmental Hunting Federations. Where to apply Website https://emploi.cnrs.fr/Offres/CDD
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self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed to irrigate