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Field
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the contribution of ESS in supporting power quality and stability in SMGs through the provision of ancillary services. The project will develop intelligent energy management and control methodologies using
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Machine Learning models for quality prediction and control of phosphate ore. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and
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manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology: Host strain screening and engineering for
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interdisciplinary research at the intersection of engineering, systems thinking, and organisational studies. We are seeking a Postdoctoral Research Associate AI-Driven Sensing and Control for Megaproject Systems
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29 Aug 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Control engineering Engineering » Mechanical engineering Researcher Profile