52 post-doc-dynamics-vibration Postdoctoral positions at Oak Ridge National Laboratory
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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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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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Requisition Id 14859 Overview: We are seeking a postdoctoral research associate who will study the dynamics of low-energy, high-charge ion beams. This project will use the Spallation Neutron Source
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-throughput data analysis, focusing on frame reconstruction and dose-efficient imaging. Conduct experimental validation and calibration of the detector, optimizing noise suppression and signal reconstruction
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-task efforts in molecular biology, NMR, dynamic nuclear polarization (DNP) and macromolecular crystallography, and collaboration with computational scientists developing ML and AI tools for molecular
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Requisition Id 14730 Overview: We are seeking a postdoctoral research associate who will study the dynamics of low-energy, high-charge ion beams. This project will use the Spallation Neutron Source
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) at Oak Ridge National Laboratory (ORNL) is seeking a Post Doctoral Research Associate to perform R&D in the areas of EMT simulation and software development as well as dynamic and transient inverter
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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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intelligence techniques for scientific workflows deployed across heterogeneous computing resources. As a postdoctoral fellow at ORNL, you will join a dynamic team of researchers specializing in workflow
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, molecular dynamics simulations using ab initio and machine-learning potentials, and the development or application of machine-learning tools for feature extraction, property prediction, and inverse molecular