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assess the operational feasibility and robustness of urban energy system designs emerging from AI- and multifractal-informed planning approaches. The PhD will develop and apply optimization-based energy
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partner institutions in France and Switzerland, including research stays within the FRACNET-CITY consortium. PhD Position in Operational Feasibility and Robustness of AI- and Multifractal-Inspired Urban
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of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
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sediment continuity during small floods, while guaranteeing a safe and robust retention of bedload and wood during large floods and overload scenarios. Your work will include field measurements at selected
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assessment of cardiac anatomy, function, and blood flow. However, long acquisition, reconstruction and data processing times continue to limit its clinical reach and robustness. Recent advances in machine
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artificial intelligence everywhere – with rigorous physical models that are robust and interpretable due to their physical constraints. In the ProMote project, the integrated design workflow will be