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Field
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composition and music technology, such as electronic music, sound art, creative coding, spatial audio, or sound design. The successful candidate will lead the music theory and musicianship curricula and will
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coding and information theory, modern machine learning, iterative and message-passing algorithms, and quantum systems. You will further be part of QuBriC, a large European research and training network
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Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by the intersection of control theory and scientific machine learning? Join us in developing the
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Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has
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family of microcontrollers and embedded systems design; modelling and simulation using MATLAB/Simulink; signal theory and digital signal processing, including time-domain, statistical, and spectral
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theoretical and computational research on dynamic game theory and multi-agent optimization for uncertain systems. By building on tools from distributed optimization, convex-monotone game theory, and hybrid
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! You will: Mechanical Engineering Machinist 2: Apply substantial understanding and expertise in journeyman-level machining technology, theory and practice to effectively and efficiently carry out
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. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned interatomic
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of the defining challenges of the coming decade, and it is exactly where this PhD sits. At TU/e you will join the Information and Communication Theory Lab, a group with a long track record in classical coding and
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• Background in robotics, control engineering, or a related field, with a working foundation in classical control theory alongside modern learning-based methods. • Excellent