480 evolution "https:" "https:" "https:" "https:" "https:" "https:" "ISCTE IUL" positions at CNRS
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abundant protein on Earth. Our goal will be to compute the free energy barrier for the wild-type and for mutants obtained through directed evolution,4 aiming at providing chemical insights in these recent
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, access to computer cluster Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-212/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent
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the Condorcet Building of Université Paris Cité, with possible visits in the CERM Laboratory of the University of Liège and BVI (Belgium). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7162
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(Bus G). The project aims to expand the glyco-chemical space by exploiting bifunctional exo-glycals as "super-carbohydrates" for the development of new domino cyclizations, enabling the one-pot
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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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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wave enantioselective electron paramagnetic resonance (TWEEPR). The successful candidate will contribute to the development of novel GHz experimental techniques within the Magneto-optics team
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, as well as to the development of a structured database generated from ab initio calculations and enriched through machine learning approaches. The objective is to develop predictive tools to analyze
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of understanding cirrus clouds in climate studies. We are seeking postdoctoral researchers to contribute to our mission of advancing knowledge on how aerosols influence cirrus formation and their evolution, under
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of the world's oldest medical schools. (https://www.igmm.cnrs.fr/en/ ) The Lab: The work will be carried out in the AI for Genome Interpretation (AI4GI) group, led by Dr. Daniele Raimondi. The group focuses