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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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-year project carried out in close collaboration with our industry partner. The goal is to develop methods for an ML-based decision support system for monitoring and fault diagnosis of gas turbines
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, data science, or a related field. We also think you have a strong mathematical background and knowledge of optimization, particularly in areas such as complexity theory, high-order methods, acceleration
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