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enabling process monitoring, learning, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control methods with practical applicability and theoretical
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influences carbon cycling in cold environments. The project combines controlled freezing experiments, aqueous geochemistry, gas monitoring, and mineral characterization to develop a process-based framework for
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software and sensor integration for real-time monitoring of physiological parameters (pH, oxygen tension, glucose, lactate, pressure, flow); and supporting ongoing perfusion experiments in collaboration
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