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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
at Chapel Hill invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular simulations. This role will support innovative research at the intersection of Artificial
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modeling and simulation to complement physical experiments Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and apparatus development Additional background in areas
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. The selected candidate is expected to have expertise in one or more of the following areas: modeling contaminant flow and transport at various geospatial scales, process-based modeling of soil organic matter
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. The selected candidate is expected to have expertise in one or more of the following areas: modeling contaminant flow and transport at various geospatial scales, process-based modeling of soil organic matter
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micro and nano-technologies (characterization, simulation, modeling), as well as in the design and characterization of circuits, microsystems and systems. Located at the convergence of many sciences and
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nonproliferation. With guidance, the appointee will : Develop advanced multiscale, multiphysics simulation tools relevant to the modeling of processes involving combined nuclear, chemical, and electrochemical
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Computer Science, Software Engineering, or Artificial Intelligence. You have strong programming skills and experience in developing AI solutions and real-time simulation platforms. You have strong written and spoken
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readout circuit designs informed by device characterization and electromagnetic simulations Contribute to the development of complete instrument systems for characterization of solid-state single-photon
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loading conditions. • Develop and validate computational models (FEA/FSI) of cardiac valves. • Integrate experimental data with simulation results to evaluate stress and strain
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and novel device technologies Develop, validate, and maintain simulation and modeling frameworks for detector performance, characterization, and benchmarking Analyze simulation results and experimental