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Field
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synthesis, water splitting, ammonia synthesis or carbon capture. Knowledge in advanced structural characterizations will be valued. Familiar with risk assessment and safe working procedures in a chemical
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collaboration between multiple research groups and involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health
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Materials; Energy Materials and Sustainability; Materials for Structural Applications and Extreme Environments; Modeling, Theory and Computational Approaches to Materials Science and Engineering; Nanoscale
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the theoretical and computational mechanics of shell structures, with a focus on extending these models to incorporate coupling with electromagnetic theory. This position is part of an interdisciplinary effort to
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optimization or related inverse design techniques. While this position does not involve developing AI models, it requires close collaboration with AI researchers to ensure data is appropriately structured for AI
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using different materials, producing a comprehensive dataset of structures and their optical properties. This dataset will serve as input for AI-based design tools developed by collaborators within
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading
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. recombinant expression and purification of proteins, crosslinking/mass spectrometry, fluorescence microscopy, CRISPR-mediated gene editing, protein structure prediction, structural modelling, transmission
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our
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design of hyperstable miniprotein binders using advanced computational platforms. The work integrates protein modeling, in silico affinity optimization, and mechanistic studies aimed at modulating key