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that bridges length scales – from atomistic and molecular phenomena at interfaces to the performance of engineered components – and integrates materials design with mechanical behavior is
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relevant background in physics, materials science, nanotechnology, or a related field. Experience with transmission electron microscopy, crystallography, atomistic structure models, Python-based
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and data will be lost. Posting Summary Logo Posting Number RTF00195PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title
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reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic
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defects drives degradation and can enhance recombination losses. Resolving how this coupling between electronic and ionic transport depends on atomistic interface structure, and how it evolves under
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description The group recently obtained funding for a project to study and design lipid scramblases. This project involves high-throughput coarse-grained and atomistic molecular dynamics simulations
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Engineering, Computational Science, Applied Math, or a closely related field. Demonstrated experience in atomistic and/or dislocation simulation methods (e.g., Molecular Dynamics, Dislocation Dynamics
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thermodynamic modeling, atomistic simulation methods, or reaction-kinetics analysis. Experience with modelling or theory of interfacial phenomena, particularly wetting interactions. Pay Range $123,048
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Chemical Engineering, Materials Science or closely related discipline. Your responsibilities will include: Development and validation of new molecular models at the atomistic or coarse-grained level
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atomistic tunability and nanoscale modularity of synthetic chemistry. You will use this combination to develop a new class of quantum sensors for biosensing and nanoscale magnetic resonance. Background