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-constrained models. Currently, we are advancing the development of single-cell models, machine learning approaches based on cultivation data, and the integration of metabolic models with computational fluid
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, conversion, and utilization in different thermo-mechanical systems where the study of heat transfer, fluid mechanics as well as structural dynamics plays a central role. Approximately 30 colleagues work at the
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