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these fundamental challenges and contribute to the development of more reliable and effective solutions for protecting buildings against rising damp. Using a unique multiscale research approach, you will investigate
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something has gone wrong, learn from failures and mispredictions, and recover to a stable and reliable operating state. Formal methods ensure that learning and recovery are performed with a provable quality
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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evaluation, extended for a total of 4 years). The preferred starting date is as soon as possible / to be discussed. This should lead to a dissertation (PhD thesis). We will draft an educational plan