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Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis to develop an innovative model to estimate the direct and indirect costs
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peer-reviewed journals and conferences. Preferred Qualifications: Experience with black-box modeling of wind turbines and converter-based power systems. Knowledge of Lyapunov-based methods, nonlinear
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numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims to address critical computational challenges in simulating the physical dynamics
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peer-reviewed journals and conferences. Preferred Qualifications: Experience with black-box modeling of wind turbines and converter-based power systems. Knowledge of Lyapunov-based methods, nonlinear
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
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. Preferred Qualifications: Experience with black-box modeling of wind turbines and converter-based power systems. Knowledge of Lyapunov-based methods, nonlinear stability assessment, and control design
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live in. Your role Research related to the following areas: Mathematical statistics, Machine Learning, High-dimensional statistics, Robust estimation methods, Probabilistic foundations of mathematical
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of TSN-based in-vehicle networks. These networks carry mixed-criticality traffic and use TSN with multiple traffic shapers and redundant communication. You will investigate methods for runtime analysis
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Computer Engineering or a closely related field, completed by the start date of the appointment. Research experience in at least one of the following areas: ● Chip design, tape-out, and testing
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Job Description Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Biomedical Engineering, Medical Physics, Electrical, Computer Engineering or a closely