185 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Postdoctoral research jobs at CNRS in France
Sort by
Refine Your Search
-
. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9198-TANTIB-001/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD
-
Chernodub's group in Tours, Adolfo Grushin's group in San Sebastian, Spain, and Andrei Fedorenko, Edmond Orignac and David Carpentier at LPENSL. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
-
, between the sea and the mountains, offering a work environment that is intellectually stimulating and personally enriching. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7370-CLABLI-012
-
combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
-
has opened a new era in the exploration of the fundamental laws of Nature, and it will be the world's energy frontier machine for the foreseeable future. After the breakthrough discovery of the Higgs
-
another startup. The successful candidate will enjoy the benefits of being based at the CNRS site (catering, access to public transport). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7504
-
lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
-
molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM
-
. The project is carried out in a collaborative research environment. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9025-DANCOM-005/Candidater.aspx Requirements Research FieldPhysicsEducation
-
elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative