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Qualifications: Proficiency in surface and interface characterization using atomic force microscopy. Knowledge of exciton dynamics, charge transport, or interfacial phenomena in low-dimensional systems. Experience
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. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top
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photo-bases. The work will focus on modeling of adiabatic and nonadiabatic photochemical processes to capture excited states dynamics using an array of ab initio molecular dynamics methods for excited
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specialized diagnostics, particularly for high dynamic range and high dimensional measurement of particle beam distributions. This project is motivated by the limitation presented by uncontrolled beam loss
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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
to understand the static and dynamic properties of the materials. Publish scientific papers resulting from this research and present results at appropriate national and international meetings. Deliver ORNL’s
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, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls
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Requisition Id 14907 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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scattering experiments and analysis of resulting data to understand the static and dynamic properties of the materials. Contributes to the development of a powder diffraction workflow by integrating machine
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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