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sequences for predicting disease progression and outcomes; Developing advanced generative models to simulate patient health trajectories, including disease progression, based on real-world data, enhancing
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thin films possessing the desired magnitude and direction of the polarization. The successful candidate will perform atomistic simulations, using both density functional theory and classical molecular
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
including molecular dynamics simulations, protein design, data visualization, and analytical techniques including optical spectroscopy and microscopy techniques, including fluorescence microscopy (e.g
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The researcher will study the potential of atto-photochemistry on organic or inorganic photoinduced reactions. He or she will use quantum chemistry and molecular dynamics methods to do so. The overall objective is
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 21 days ago
properties and a variety of potential applications. Application of the molecular dynamics methods combined with the approach based on the thermodynamic models of multicharged surfactant adsorption can provide
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must have a Ph.D. in Chemistry, Physics, or related field, with extensive experience in the application of molecular dynamics simulations to molecular systems, ideally in both methods and applications
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to the Lab’s broader effort in CH4 and CO2 utilization R&D. The role will require the individual to work with personnel that perform machine learning and molecular simulations and electrochemical device testing
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Sciences Division (CSD), Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). The postdoc will perform molecular dynamics simulations, statistical mechanics (e.g., rate theory) and
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and exploit the interrelated processes of viral glycosylation and viral dynamics. Molecular simulations will enable the identification of cryptic pockets in viral proteins that form during the entry
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aims to digitalize the sense of smell, laying the foundation for understanding how olfaction works in humans and for building AI models that simulate olfactory experiences. The research will focus