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opportunities within ScaDS.AI. Tasks: foundational and applied research in LLMs for traffic engineering, with particular focus on mobility knowledge benchmarking, simulation of human mobility behavior, simulation
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management (RDM) system. The goal is to create an overarching data space for the RTG that integrates various experimental techniques and simulation methods. This includes concepts for ensuring data quality
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evaluation of efficient training and reconstruction pipelines involving deep learning models Find required initial conditions for LWFA simulations which yield the reconstructed observed electron buch shapes
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