Lorraine Université d'Excellence (LUE)

Postdoract fellowship in molecular simulations, machine learning, and statistical mechanics

2023-08-01 (Europe/Paris)
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DESCRIPTION

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 freedom
  • Molecular simulations of complex mechanisms in large biological objects
  • Computational modeling of transition pathways in high-dimensional systems

Prior 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 is required.

Christophe Chipot

TERMS AND TENURE

This two-year position will be based at the Laboratoire International Associé CNRS/UIUC, Laboratoire de Physique et Chimie Théoriques, UMR n°7019, Université de Lorraine, BP 70239, 54506 Vandœuvre-lès-Nancy cedex, France. The duration cannot exceed 24 months.

The target start date for the position is October 1, 2023, with some flexibility on the exact start date.

HOW TO APPLY 

Applicants are requested to submit the following materials:
• A cover letter applying for the position
• Full CV and list of publications
• Academic transcripts (unofficial versions are fine)

Deadline for application is August 1, 2023. Applicants will be interviewed by an Ad Hoc Commission by September 1, 2023.

Applications are only accepted through email. All document must be sent to christophe.chipot@cnrs.fr

JOB LOCATION

Nancy, Lorraine, France

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Job details

Title
Postdoract fellowship in molecular simulations, machine learning, and statistical mechanics
Location
34 Cours Léopold Nancy, France
Published
2023-04-21
Application deadline
2023-08-01 23:59 (Europe/Paris)
2023-08-01 23:59 (CET)
Job type
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The initiative aims at developing and densifying the initial perimeter of excellence, within the scope of the social and economic challenges.

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