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optimization of production systems and supply chains, including digital twins, virtual system validation, process modeling, and data-integrated decision models. Research should explicitly support managerial
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. degree in computer science, mathematical engineering, mathematics, or similar; - Solid mathematical and analytical skills, including mathematical optimization and information theory; - Solid
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at end-of-life. In this role, you will explore and optimize promising glass compositions suitable for use as power-electronics substrates, connecting composition and structure to relevant functional
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, including design optimization. Proof-of-concept validation through hardware prototype development and testing is expected as part of the project. The position is offered in relation to the project “CirclePE
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or BSc + one year of Master Studies in mathematical engineering, mathematics, computer science, electrical engineering or similar. Solid mathematical and analytical skills, including optimization and/or
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processes in Power-to-X technologies, with a particular focus on fuel cell and electrolysis systems. Your primary research activities will revolve around modelling, simulation and optimization of reactors and
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research will explore how to optimize AI architectures to function on edge devices with limited computational power and energy budgets, balancing performance with sustainability. You will develop frameworks
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. The candidate will design models and algorithms for learning and decision-making under uncertainty, optimized for real-time operation on heterogeneous physical devices. Finally, the position will address how
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and partial safety factors. Establish a risk-based structural integrity management framework offering optimal inspection and maintenance decision support. Explore additively manufactured structural
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engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error