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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
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 this position is to ensure that the Cleanroom & Nanofabrication Facility operates efficiently while maintaining the highest standards to optimize the research productivity and educational opportunities for BC
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modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent
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optimization, numerical linear algebra, partial differential equations, inverse problems, and large-scale stochastic systems. Faculty apply these strengths to critical fields including energy systems, medical
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integrating medical devices and analyzers with clinical applications, including workflow optimization, connectivity standards, and real-time data transmission. Proven success supporting and implementing
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, such as pulse design or numerical optimization Background in data-driven or machine-learning approaches relevant to optimal control (e.g., model learning, reinforcement learning) What you will do Take
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of this position is to ensure that the Cleanroom & Nanofabrication Facility operates efficiently while maintaining the highest standards to optimize the research productivity and educational opportunities for BC
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(e.g., Wireshark) to diagnose and resolve packet-level communication issues. Experience and knowledge integrating medical devices and analyzers with clinical applications, including workflow optimization
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Conduct numerical calculations to support the design and optimization of thermoelectric elements and modules. Perform analyses of thermal stresses in thermoelectric modules, including for various types
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focuses on the analysis and optimization of clinical data systems, ensuring that health information is easily accessible and accurate across the organization in collaboration with other department data