58 density-functional-theory-molecular-dynamics Postdoctoral positions at Oak Ridge National Laboratory
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research and development projects The ability to work in a very dynamic team environment is required Excellent verbal and written communication skills Special Requirements: Visa sponsorship is not available
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. Experience with lipids and proteins. Background in the use of differential scanning calorimetry, Langmuir-Blodgett films, dynamic light scattering, small angle neutron and/or x-ray scattering. Background in
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. The goal of this work is to investigate the dynamics of beams with intense space charge and benchmark simulation models against experimental results. As a U.S. Department of Energy (DOE) Office of Science
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) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to perform R&D in the areas of electromagnetic transient (EMT) simulation and software development as well as dynamic
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strong background in quantum computing, computational physics, and a solid understanding of condensed matter quantum many-body theory. This position resides within the Quantum Computational Science group
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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. Related fields, including hydropower and power grid modeling, hydraulic engineering, and sediment transport. The successful candidates must demonstrate an ability to work independently, evidenced by
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) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics