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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days 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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Identifying and addressing research questions as part of Prof. Perugia's research group. o Innovative development, analysis, and implementation of numerical models. Interdisciplinary collaboration: o
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providing clear, practical advice. You will also be able to demonstrate experience in: Strong analytical and numerical skills, including remuneration data, benchmarking, modelling and equity analysis
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of physical or electrochemical systems. Strong programming and numerical analysis skills. Knowledge/Skills/Abilities Ability to develop, implement, validate, and analyze computational models of electrochemical
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). Computational modeling of complex systems, including physics-based or data-driven approaches. Emerging challenges in modern numerical analysis, such as uncertainty quantification, high-dimensional problems
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power
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. Previous experience with data assimilation and numerical modeling will be regarded as positive in the selection process. Experience in automated processing of large data volumes. Experience with scientific