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-of-the-art solid-state NMR techniques, including fast magic-angle spinning (MAS), proton-detected NMR, dynamic nuclear polarization (DNP), and multinuclear spectroscopy to investigate molecular structure
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Researcher will develop machine learning (ML)-based methods for reaction dynamics simulations in both gas-phase and condensed-phase systems. The primary focus of this position is the development and
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research, and modeling approaches to address challenges related to improving crop production efficiency and understanding the dynamics of integrated agricultural systems. Research emphasis will include
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candidate will join a dynamic research program focused on understanding the pathogenesis of influenza and other RNA viruses and developing innovative strategies to prevent viral diseases. Working within a
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of Chemistry at Iowa State University is proud to offer dynamic research opportunities in analytical and bioanalytical chemistry, inorganic and materials chemistry, organic and bioorganic chemistry, physical and
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interaction science as part of a collegial and dynamic research team. Required Minimum Qualifications: Ph.D. in Agronomy, Soil Science, Environmental Science, or a closely related field by the start date