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data download, quality control, data processing, observation error analysis, forcing file processing, running nonlinear and data-assimilative code, posterior model error analysis, model visualization
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control, data processing, observation error analysis, forcing file processing, running nonlinear and data-assimilative code, posterior model error analysis, model visualization, archiving, and
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control, data processing, observation error analysis, forcing file processing, running nonlinear and data-assimilative code, posterior model error analysis, model visualization, archiving, and
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requirements while enabling fully electrified actuation and control. Although research has demonstrated stable levitation and contact-free pumping in laboratory-scale systems, reliable design methods for
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mechanics, friction laws, and nonlinear material behavior. Proficiency in C/C++ programming language. Experience working in Linux-based high-performance computing environments. Record of publishing peer
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European countries ( https://cordis.europa.eu/project/id/101227338 ). You will be appointed for three years, during which time you will study for a fee free PhD. Are you passionate about micro-sensors and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
internationally recognized for research programs in advanced manufacturing, precision metrology, battery research, motorsports/automotive engineering, control systems, computational mechanics, as well
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internationally recognized for research programs in advanced manufacturing, precision metrology, battery research, motorsports/automotive engineering, control systems, computational mechanics, as well
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contribution. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or
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magnetohydrodynamic flows; and autonomous distributed systems. We especially welcome candidates whose work integrates physics-based modeling with data-driven methods, develops new algorithms for complex nonlinear