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how geometry- and data-driven digital twins of wireless environments can support learning, inference, and coordination in physical AI systems such as robots, vehicles, or distributed sensing platforms
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of cyber-physical systems is available from March 15 th or as soon as possible thereafter. The employment will be for a period of 12-24 months. The candidate will be part of the section Distributed, Embedded
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for physical AI systems that learn and adapt through continuous exposure to multimodal sensory and radio data, and acts upon real-world environment through distributed coordination and control. Emphasis will be
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