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, numerical methods, and Earth system modeling to develop and evaluate a coupled xylem–phloem transport framework that translates multiscale physics into next-generation vegetation model schemes. Key
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available in the Center for the Chemistry of Molecularly Optimized Networks (MONET) at Duke University. The position will support the development and use of data tools for polymer network chemistry, lead and
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and develop computational methods
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to advancing scientific knowledge and developing novel solutions in chemical synthesis, chemical probe development, and drug discovery. We invite highly motivated individuals to join our dynamic team as
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/spatial multi-omics and epigenomic data in applications spanning development, cancer, neurodegeneration, and immunology. Publish in top venues, present at major conferences, and contribute to open-source
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assembled during embryonic development, how this is disrupted in neurodevelopmental disease and co-opted during brain evolution. We employ a multifaceted strategy to bridge developmental neurobiology, RNA
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assembled during embryonic development, how this is disrupted in neurodevelopmental disease and co-opted during brain evolution. We employ a multifaceted strategy to bridge developmental neurobiology, RNA
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involves designing, executing, and analyzing experiments that explore atomic-photonic interactions and advanced quantum gate operations with trapped atomic ions. The successful candidate will also develop
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future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and develop computational methods