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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
lifelong learning and enjoy 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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
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 rates on select
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. While EMT simulation provides the required modelling detail, existing workflows do not scale efficiently to national and regional transmission systems.Our Vision: make EMT-based stability assessment
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
, the position's main focus is on developing and applying numerical models that help us understand how radiation-induced microstructural damage translates into changes in macroscopic mechanical properties. Several
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characterization, and flow measurements; validate models and identify operating regimes. Develop numerical simulation, data-analysis, and machine-learning/automated rule-extraction workflows that integrate
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
graduate programs. We consist of 48 tenure-track faculty, 11 teaching faculty, 5 research faculty, and numerous active adjunct and emeritus faculty who are engaged in basic and interdisciplinary research and
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. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic
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quantifying inclusion size and morphology and assessing the influence of surface features such as oxides, wire marks, and indents on stress concentrations. These data will inform numerical and analytical models
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on their background, expertise and affinities. Possible directions include: Formalizing GPU kernel semantics (e.g., PTX/Triton) in a proof assistant and verifying high-performance inference kernels (numerical accuracy