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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind
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, wearable physiological sensing, and machine learning to uncover how factors like fatigue and cognitive workload impact technician performance. Join us to develop predictive models that predict human error
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learning models applied to material modeling. Proficiency in programming languages, such as Python, MATLAB, Julia, and C++, and molecular dynamics programs, such as LAMMPS, to predict mechanical/electrical
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