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on wind turbines and ships. This involves advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement
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of the results to a broader audience of policy makers and society as a whole. Your experience and profile: Formal requirements: Applicants must have, or be close to obtaining, a PhD degree in Actuarial Science
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advantage may arise. The focus of this project is to develop techniques that will enable gate-based quantum optimization algorithms to tackle realistic (large-scale, mixed-integer, and constrained) instances
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Are you passionate about mathematical control theory and its applications? Are you eager to develop estimation and control algorithms for large-scale dynamical systems with the aim of making next
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-management algorithms for efficient and reliable long-duration operation. Implement hardware-in-the-loop (HIL) and real-time co-simulation for validation under realistic grid scenarios. Integrate battery
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well as collaborate with PhD candidates. You'll design experiments using our robotic platform, analyze tactile data patterns, implement real-time control algorithms, and validate performance across diverse scenarios
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blend theoretical approaches with hands-on experimentation, as well as collaborate with PhD candidates. You'll design experiments using our robotic platform, analyze tactile data patterns, implement real
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work with Dr. Anna Dawid and her research team. The position is set in the exciting, friendly, and interdisciplinary environment of the aQa (Applied Quantum Algorithms) group, which is a team of faculty
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and Mission Science team located at ESTEC (Noordwijk, Netherlands) to align the development of AI-driven methodologies and algorithms with the CHIME mission. Technical competencies Knowledge relevant
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of EU digital and data regulation? And lead the organisation of an academic workshop and become the co-editor of a special journal issue on artificial secrecy and algorithmic transparency? How does EU law