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materials, electrodialysis, membrane fabrication especially in thin-film composite membranes and hollow fiber membranes. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed
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composition-dependent property determination for the EMC:EC:LiPF6 system, including the ultraconcentrated salt regime. You should possess or have nearly completed a PhD in a relevant discipline. Experience with
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should possess: • A PhD/DPhil (or near completion) in Engineering, Materials Science, Physics, or a related field • Strong expertise in composite materials, their deformation and failure, and finite
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Laboratory located in Ames, Iowa, on the campus of Iowa State University. We are dedicated to translating foundational science through applied research to create technological innovations. We create materials
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facilities. Perform thermochemical and thermophysical properties measurements of MSR relevant molten salts to understand the impact of evolving salt composition on property values and provide this data
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: Until Filled Deadline: Job Description: One postdoctoral position in MOFs and their composite materials, derived from inorganic by-products and other sustainable precursors, is available at CBS.GPE
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for catalysis. The job vacancy involves designing, synthesizing, and characterizing highly catalytic active MOF composites for photocatalytic CO2 conversion and water splitting. Materials synthesis will involve
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infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and
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Posting Details Position Information Job Title Postdoctoral Research Associate Position Number 977343 Department Engineering Salary $65,000 Remote No Job Summary/Description The Material Assessment
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling