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on machine learning, AI security, and real-time embedded computing for cyber-physical systems, with a strong emphasis on the AI and trustworthiness side of the problem. The main activities include: Designing
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Architecture, Mechanical Engineering, or aclosely related discipline. A strong background and demonstrable interest in hydrodynamic numerical modelling are essential. The candidate is expected to have experience
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local implementation capacity) channel the same technology in very different ways. China and Denmark face the same wave but route it through fundamentally different institutional architectures, which
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electrolytes and battery architectures. Experimental PhD position: You will synthesize and characterize novel solid-state electrolytes based on earth-abundant materials and investigate their interfaces with