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Job Description • Develop dynamic models and simulation frameworks for a novel pier-free telescopic coastal barrier system. • Design and implement coordinated control algorithms
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technical support in journey-level machining technology, using both conventional and Computer Numerical Controlled (CNC) machinery to program, set up, and manufacture complex hardware components and
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characterization and numerical modeling to develop quantitative models of optical transport in disordered media, with particular emphasis on high-refractive-index and anisotropic materials. Activities include
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machine learning (ML) weather and climate models to improve physics-based models, while using physical understanding to enhance ML approaches. By integrating ideas from numerical weather prediction, climate
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momentum, and help improve how they are represented in weather and climate models. You will work within an international team combining satellite observations, ground-based measurements, & high-resolution
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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supports numerical computational modeling of subsurface flow and well performance, mentors PhD students, and contributes to ongoing research projects. This is a temporary, part-time (wage-payroll) hourly
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numerical experimentation. Together, they will help ensure that the modelling infrastructure combines scientific excellence with cutting-edge software engineering, delivering robust, efficient, and scalable
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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