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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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. This position is to be filled at the Institute of Climate and Energy Systems - Energy Systems Engineering (ICE-1), where we develop models and algorithms for the simulation and optimization of future energy
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programs. Expertise in a range of engineering-related tools and applications, to include MatLab/Python, EnergyPlus, Labview, Excel, including libraries for conducting numerical analysis of time series data
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programs. Expertise in a range of engineering-related tools and applications, to include MatLab/Python, EnergyPlus, Labview, Excel, including libraries for conducting numerical analysis of time series data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time employees a
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of FSI, including its dependence on phase distribution and flow velocities Develop new sub-models for CFD–FEM simulations of two-phase flow–induced vibrations Conduct coupled numerical simulations and
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Scheduled Hours 40 Position Summary The Zolkind Lab is a translational head and neck cancer lab investigating novel models of treatment resistance and therapeutic targets. This is a "bench-to
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al., 2020; Zhao et al., 2024). Using direct numerical simulations of the interaction between turbulent flow and moving cylinders, Zhao et al. (2024) identified three distinct interaction regimes as the
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid