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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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orally and in writing. Knowledge of prototyping, specifically control (PID, MPC, optimal/robust, learning-augmented); perception & planning; sensor fusion; calibration; system identification. Programming
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Learning: Cross-silo training across institutions and facilities; privacy-preserving learning (secure aggregation, differential privacy, MPC/HE); personalization under heterogeneity; governance-aware data
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