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for predicting the reliability of high-temperature structural components. This involves working with various continuum damage mechanics models and statistical reliability models. The goal is to enhance engineering
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at technical conferences. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical engineering, materials science, civil engineering, computer
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(baseline 6-element prototype at Sector 25 to ~18 analyzer elements), mechanical/optical layouts, tolerances, alignment strategy, and stability requirements, detector, motion, and sample environment
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, mechanical engineering, artificial intelligence, or related engineering disciplines Experience with state of the art AI methods for robotics Experience with robotics research strongly preferred Experience in
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oxides from molten salts, evaluate the purity and morphology of the products, and develop underlying understanding of the reaction kinetics and mechanisms behind these processes. As a part of this team
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Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Electrochemistry, or a related
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campaigns using advanced synchrotron X-ray techniques to generate quantitative, AI-ready datasets that reveal defect-mediated mechanisms governing the stability, adhesion, and transport behavior of thin films
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. Quantum Mechanical Calculations: - Performing first-principles based or Density Functional Theory (DFT) calculations for molecules/materials and interphases - Utilizing Molecular Dynamics (MD) simulations
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per week. Preferred Qualifications: Knowledge of kinetics and mechanism of chemical reactions. The ability to conduct high-temperature and high-pressure experimentation in both batch and flow
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materials recovery,CO2 electrolysis and fuel cells. Experimental work will involve design, characterization, and degradation studies of model interfaces that can help elucidate their degradation mechanisms