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of combined classical and quantum communicating and computing systems as well as their timing performance is available and open for appointment from March 1, 2026, or soon as possible thereafter. In
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charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
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to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring
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Power Electronics and Power Electronic Control, Reliability and System Optimization research groups. They are also in relation to AAU Energy's Mission on Digital Transformation and AI as well as Energy
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, hybrid testing and digital twins . In addition, the project interfaces with a probabilistic modeling framework (also developed in a parallel CEBE work package) to quantify material variability and ensure