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scale and the sample scale. - Establish links between microstructure and mechanical properties, by combining experimental and numerical approaches, with the aim of optimizing material performance. Within
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events. Primary
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include: development and implementation of numerical codes for time evolution in AdS, holographic studies of turbulence, holographic simulations of heavy ion collisions, calculations of quasi-normal modes
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Research scientist to work under the supervision of Professor Pradeep George in process Optimization, with emphasis on Chemical vapor Deposition (CVD). The successful applicant must have a strong background
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process Optimization, with emphasis on Chemical vapor Deposition (CVD). The successful applicant must have a strong background in the area of Computational Fluid Dynamics. Familiarity with response surface
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will work with state-of-the-art software and equipment to implement new processes for the efficient use computer numerically controlled and manual machining equipment which are used to create custom
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at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive
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of a vast and widespread amount of data are creating new economic and social opportunities in various fields. These developments are also posing numerous new scientific challenges for the optimization
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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on the development, theoretical analysis, and optimal implementation of numerical methods for systems governed by multiphysics and multiscale differential models, including the use of parallel computing architectures