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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
inform observable macroscopic properties as part of the activities of the UNC Superfund Research Program (SRP) (https://sph.unc.edu/superfund-pages/srp/). This work involves running, developing, and
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computational modeling and simulation to evaluate how data center demand affects electric grid reliability, resilience, and operational flexibility under various growth and climate scenarios. • Life-Cycle and
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financial markets and allows you to learn many aspects from fundamental research problems to concrete applications. More information about the research teams can be found from the centers’ web site: https
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the development of compact device modeling, SPICE simulation and with programming skills in general programs such as python, Matlab or similar. Experience on memristors is also acknowledged. Experience in circuit
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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/Qualifications Previous experience in the analysis and simulation of stochastic processes and stochastic differential equation systems. Previous experience with population dynamics models in ecology. Additional
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independent and collaborative research within European and Nationally funded projects Design and implement modelling, simulation, or experimental studies related to energy systems Prepare scientific
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simulate: Build and mesh 3D model geometries Develop math models and simulation schemes involving steady-state Navier-Stokes and reaction- diffusion equations Use simulations to inform design Stay current
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on github . [1] L.M. Hale, Z.T. Trautt, and C.A. Becker (2018), "Evaluating variability with atomistic simulations: the effect of potential and calculation methodology on the modeling of lattice and elastic
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experimental data will be used to feed into numerical simulations using the Fire Dynamic Simulator (FDS) code, incorporating the kinetic models developed. The overall aim of the work is to gain a better