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Field
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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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understanding of dynamically transformable materials that yield a novel function in response to external stimuli such as ion insertion, voltage, and optical excitation. We aim to develop a new understanding on
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hydrolysis, RNA nanotechnology, RNA structure and function, TIRF imaging, optical tweezers, RNA motility, RNA dynamics, RNA therapeutics, nucleic acid chemistry, cancer mRNA-vaccines, RNA delivery, protein
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Simulation Laboratory (https://griffith.web.unc.edu). This position would support projects on (1) cardiac digital twins for heart failure and/or (2) cardiac fluid dynamics simulation software development in
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a dynamic, diverse research group (http://krollgroup.mit.edu ) aimed at better understanding the chemistry underlying air quality and climate. The researcher will lead a project focused on assessing
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. IDI brings together a dynamic research community that fosters a collaborative approach to address critical problems in infectious disease and the global environment. Columbus, Ohio’s capital and one
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or Research Associate will be responsible for the following tasks: Conduct research aimed at elucidating the dynamics of rPTMs in human cell cultures infected with HIV-1 and hepatitis C. Generate and maintain
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Responsibilities Theory Quantum transport modeling using NEGF; first-principles materials and interface calculations using DFT (VASP, Quantum ESPRESSO, or equivalent). Atomistic spin dynamics
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equation models for Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. New mathematical models will be informed by longitudinal experimental data, including multiplexed spatial