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technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining
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models and monitoring data to assess its current structural state and predict its remaining lifetime. This will enable the condition of welded structures to be monitored throughout their service life
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. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models and
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applications. As AI models continue to increase in size and computational complexity, the demand for high-bandwidth, low-latency, and energy-efficient interconnects has become one of the key technological
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to representative clinical datasets, for example by augmenting training data or supporting model evaluation. However, it is currently unclear under which conditions synthetic data can be considered sufficiently
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to incorporate non-standard extreme directions, which permits the modeling of settings where only parts of a system are extreme. Special attention will be given to parametric families like the Hüsler–Reiss
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real-world conditions. Change: We need technologies to measure and quantify changes in hand function due to daily life factors (sleep, stress, etc.…) and treatments/drugs in the home setting
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, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design
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losses, but their performance is increasingly difficult to measure with sufficient bandwidth, accuracy and traceability. When converter efficiencies exceed 99%, even very small measurement errors can
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generalized framework for extremal structural causal models on arbitrary directed acyclic graphs. Our new models will be able to incorporate non-standard extreme directions, which permits the modeling