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references, and a copy of at least one representative research publication to Dr. Maurer at [email protected] and cc Dr. Xiao, our Senior Scientist, at [email protected]. Applications will be reviewed as they
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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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interactions. We’re Looking for Someone With: Expertise in gas phase molecular dynamics simulations Talented in scientific software development and high-performance computing Experience in theory calculations
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
to standard fracture mechanics parameters # Systematic correlation of fractographic observations with microstructural features and macromechanical test results # Finite element simulation of mechanical tests
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fire statistics for the previous 3 calendar years. Michigan Tech will provide a paper copy upon request; please contact the Michigan Tech Public Safety. In compliance with the federal Drug-Free Schools
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contribute to the project, and (3) what makes you a suitable candidate. A CV that includes a list of publications. A copy of the doctoral degree certificate, and other certificates or grades you wish to be
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, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
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organometallic synthesis quantum mechanical simulations chem-informatics Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color
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workers. A copy of the doctoral diploma or other certification indicating the terminal degree has been completed is required. If the doctoral candidate has not yet obtained the degree, evidence that
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, numerical simulators with coupled physics (flow/reactive/geo-mechanics/thermal) have been developed and often applied to predict the long-term fate of the injected carbon dioxide to ensure its secure