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of components of the software systems running on distributed systems, e.g., data centers, grid architectures, sensor networks and other distributed cyber-physical infrastructures. Based on measured energy
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informing users and the network of new settings. The goal is to define an adaptive multicast framework leveraging error correction and machine learning to optimize parameters in real time [8]. 1.2. Scientific
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probabilistic and epistemic uncertainties by defining sets of probability distributions, for the quantitative verification of neural networks. This approach provides qualitative measures of how likely the outputs
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)*, Lyon, France, 2020. 5. Matthias Preindl, Luiz Villa, Liwei Zhou, Matthew Jahnes, Jean Alinei, "Software-Defined Power Electronics: Theory and Study Cases," *ITEC+EATS 2022 Conference Short Course*. 6. A
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), this PhD aims to develop new approaches for multi-omic analysis via artificial intelligence. The doctoral researcher (M/F) will be tasked with designing an innovative linguistic agent system, interacting