319 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" positions at CNRS
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
modeling of polymeric, reinforced, and porous materials, with strong expertise in large deformations and numerical homogenization. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7649-JULDIA
-
) in Paris. It will be co-supervised by Catherine AMIENS, from the LCC's 'Engineering of Metallic Nanoparticles' team (https://www.lcc-toulouse.fr/ en/engineering-of-metal-nanoparticles-team-l/ ) and
-
research in social, affective, and health neuroscience. English is the working language of the team, but speaking French or an interest in learning French will be advantageous. Where to apply Website https
-
, Organization and Interdisciplinary approach. Good skills in numerical methods and statistical analysis is required, very good English (written/spoken). Where to apply Website https://emploi.cnrs.fr/Offres
-
campus with meal subsidies from the CNRS. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7515-JULBER-106/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD
-
conducted with Italian partners in Rome (Sapienza University, Catholic University of Rome, Gemelli Institute). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7252-VINCOU-004/Default.aspx
-
, INSERM and Sorbonne Université. The candiate will also work with our collaborators in the project. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8265-FRATRO-002/Default.aspx Requirements
-
to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9009-CLALEN-001/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation LevelPhD or equivalent
-
experience in scientific programming is a plus. • Experience in constructing Machine Learning potentials would be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5254
-
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