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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
using first-principles simulations software (density functional theory and related codes) # Automated Workflows:Utilize automated workflows on high-performance computing systems for efficient data
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not limited to: electronic structure methods (density functional theory and "beyond"), classical atomistic, and machine learning methods. The duties/responsibilities of this post include developing and
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at better understanding of ligand binding in solution and molten salts chemistry. Computational methods will primarily involve density functional theory calculations for molecular and periodic systems
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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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Apply now Job no:534905 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants Department: Center for Translational Neuroscience Rank
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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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are modified at the near field and how such a new system can enable optically addressable atomic memory with ultrahigh storage density. The successful candidate will be part of a highly collaborative research
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synthetic and additional characterization needs. High-performance computing facilities will also be made available and the successful candidate will use density functional theory calculations to predict
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quantum mechanical calculations (e.g., first principles density functional theory (DFT)) to identify the structures and to understand the complex mechanisms of molecular reactions occurring at the surface
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Scientists Workstudy Position: No Job Type: Fixed Duration of Project/Grant (Fixed Term) Work Shift: Day Shift (United States of America) Sponsorship Available: No Institution Name: University of Arkansas