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Nancy

    Postdoctoral position in large-scale molecular simulations, machine learning, and statistical mechanics - Nancy, France - Université de Lorraine

    Université de Lorraine
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    Description

    Offer DescriptionWe are looking for a highly motivated and talented postdoctoral candidate with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in:Development of data-driven schemes for the discovery of slow degrees of freedomMolecular simulations of complex mechanisms in large biological objectsComputational modeling of transition pathways in high-dimensional systemsPrior experience in computer programming, machine learning algorithms, and molecular simulations of biological systems is highly desirable, but not necessary.

    A strong background in physical sciences, especially in statistical mechanics is required.

    RequirementsResearch FieldPhysics » BiophysicsEducation LevelPhD or equivalentSkills/QualificationsWe are seeking a highly motivated and talented postdoctoral candidate interested in molecular simulations, machine learning, and statistical mechanics to conduct research in the following areas:
    Development of data-driven schemes for the discovery of transition pathways.
    Quantum-mechanical and/or molecular-mechanical calculations.
    Computational modeling of transition pathways in high-dimensional systems.

    Prior experience in computer programming, machine learning algorithms, and quantum-mechanical and/or molecular-mechanical calculations is highly desirable, albeit not absolutely necessary.

    A strong background in physical sciences, possibly in applied mathematics, is required.
    LanguagesENGLISHLevelExcellentResearch FieldPhysics » BiophysicsYears of Research Experience- 4


  • Université de Lorraine Nancy, France

    We are looking for a highly motivated and talented postdoctoral candidate with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in:Development of data-driven schemes for the discovery of slow degrees of freedomMolecular si ...

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