10 information-technology-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at CNRS
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develop and implement machine learning approaches to analyze these data and extract relevant indicators to improve water resources management. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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the structure-function relationship of protein fragments in relation to extracellular matrix replacement. This job is based at the Laboratory of Tissue Biology and Therapeutic Engineering (LBTI – UMR CNRS 5305
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supervised by the CNRS and Paris Nanterre University. It is affiliated with the Institute for Humanities and Social Sciences (INSHS) and falls under the Economics and Management section of the CNRS National
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FieldPhysicsYears of Research ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR5672-FABMON-010/Default.aspx Work Location(s) Number of offers
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data storage, enabling the encoding of text, images, videos, and more into nucleotide sequences. While DNA data storage technologies are advancing rapidly, computation on large DNA-encoded databases
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inconsistencies between data sources, and improve knowledge of underground water networks. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8188-SALBEN-004/Default.aspx Requirements Research
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tissue engineering. The objective is to engineer GelMA-based hydrogel matrices, optionally combined with fibrin or rendered porous through phase separation, in order to precisely control their mechanical
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collaborations is required • An interest in scientific exploration of the Solar System is strongly encouraged. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8254-SYLDES-027/Default.aspx
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of English is required. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5822-FLOJAC-106/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut de Physique
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framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints