494 structures "https:" "https:" "https:" "https:" "https:" "Birmingham Newman University" positions at CNRS
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(MESR). The Marie Sklodowska-Curie GLYCOCALYX doctoral network (https://www.glycocalyx.org/ ) brings together 15 European partners implementing a multidisciplinary research and training program to study
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equipment of the Institut Curie research team. Study of the mechanisms for suppressing proliferation in polyploid cells Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR144-EDWNOR-005
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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level
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on annotated structures, which could eventually lead to automated comparative grammars. The mission is funded by the ANR Autogramm research project (https://autogramm.github.io/ ). Autogramm focuses on exploring
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structural changes in synapses to transcriptomic regulation Promote scientific results through publications and scientific communications Experimental activities Performing patch-clamp electrophysiological
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structural data, which requires laboratory based as well as on-site analyses. The main objectives are as follows: Compile legacy data of stained glass windows, this requires extensive data curation and
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Description The Language and Cognition team at the Center for Integrative Neuroscience and Cognition (INCC, https://incc-paris.fr/language-and-cognition/ ) at Paris Cité University is inviting applications
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of internal reports, articles, patents, and communications. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5635-DAMVOI-021/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD
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lab the experiments will be carried out. It is embedded in the ERC Synergy-grant-funded project BREAKDANCE, in collaboration with international partners. Where to apply Website https://emploi.cnrs.fr
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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