320 structures-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at CNRS
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to innovation for patient care. Jean-Léon Maître, head of the “Mammalian Developmental Mechanics” team (https://institut-curie.org/team/maitre ), is seeking a postdoctoral researcher with a strong interest in
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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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industrial partners. - Construction of electrochemical cells incorporating specially designed magnetic field sources, including quantitative measurement of local magnetic fields. - Implementation of tools
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) - Signal processing and image analysis (Python) - Oral presentation of scientific results at meetings and international conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295
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commensurate with experience and follows national academic standards for postdoctoral researchers. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9019-NATPET-006/Default.aspx Requirements Research
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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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member of the Friedel-Jacquinot Federation, a physics coordination structure on the Moulon plateau in Orsay (IdF). It brings together around 100 researchers and teacher-researchers, experimentalists and
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physics, and mathematical physics. The cosmology and astroparticle team (https://astrocosmolapth.com ) conducts research on cosmic large-scale structure, cosmic microwave and infrared backgrounds, cross
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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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. 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