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builds on our recent works (https://www.nature.com/articles/s41467-025-65282-1 and https://www.nature.com/articles/nature20605 ). Join our team in the https://pomplunlab.com and https
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feedback linearization, enabling control of nonlinear systems under uncertainty and partial model knowledge, Learning dynamics within control loops, integrating adaptive and optimization-based updates (e.g
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and decentralised data-center capabilities to optimize urban performance. This project aims to explore how telecommunications networks and urban infrastructures interdepend and co-evolve, and to
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optimally for future challenges. This PhD position is part of the SecReSy4You MSCA Doctoral Network, which focuses on developing next-generation methods for security and resilience of cyber-physical systems
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chip quality and reliability while optimizing overall test costs. The platform enables faster and more accurate diagnosis and yield learning, reduces in-field failures in various critical applications
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staff position within a Research Infrastructure? No Offer Description Do you want to contribute to finding practical solutions for optimized nutrient adequacy, when shifting towards more plant-based diets
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, patient motion, and more. Today, these parameters are either manually configured, heuristically optimized, or compensated post hoc using multi-level calibration scans or corrections, which introduces
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to apply Website https://www.academictransfer.com/en/jobs/359469/postdoc-in-reinforcement-learni… Requirements Specific Requirements a PhD in mathematics, operations research or computer science a strong
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to introduce world-class industrial data/AI applications into industry. Job requirements BSc (HBO), MSc. (or Ph.D.) in Data Science, Computer Science, Applied Mathematics, Engineering, Physics
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in mathematical systems and control theory, and optimization to apply for the PhD position within the Dynamics and Control section at the Department of Mechanical Engineering, Eindhoven University