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molecular simulations, machine-learning techniques, and statistical mechanics for research opportunities in: Development of data-driven schemes for the discovery of slow degrees of freedom Molecular
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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to begin on or after August 1, 2024. The position will focus on Ab Initio Molecular Dynamics (AIMD) to study polymer electrolytes, with a special interest in machine learning accelerated methods
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proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation
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collaborative network focuses on muscular control of movement across scales, integrating from molecular to whole-body and ecological levels of organization. Understanding how muscle controls movement is essential