339 structural-engineering "https:" "https:" "https:" "https:" "https:" "ICube laboratory CNRS" positions at CNRS in France
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the absorption of other MGEs, thereby restricting gene flow due to altered capsule production. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5100-OLAREN-007/Default.aspx Requirements Research
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the Universities of Salzburg and Maastricht. One position includes an additional computational component, and the other a focus on transcranial brain stimulation. Where to apply Website https
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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ptychography experiments in order to investigate, at different structural scales, the role of organic carbon in the transport and precipitation of metals under hydrothermal conditions. The researcher will
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and département level) containing a range of socio-economic indicators (indices of location, specialisation, density, structure of the working population, etc.) and to integrate into them the effects
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chemistry synthesis (organic and coordination chemistry) - intercalation and exfoliation chemistry - synthesis in supercritical media - structural and spectroscopic characterisation - magnetic and
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, engineering, and technology, thus developing one of the most important scientific research centers in France. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5077-MARPEL1-020/Candidater.aspx
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procedures to the research engineers recruited for this task, based on the established annotation protocol; o Overseeing the synchronization week organized to harmonize and ensure consistency in the annotation
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. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources
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on isolated mutations in patients with telomeric disorders Construction of KI cell lines using CRISPR-Cas9 Characterization of the telomeric phenotypes of these KI lines Characterization of the phenotypes