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in a well‑equipped and well‑staffed laboratory environment and will work with a diverse suite of platforms—including profiling buoys, benthic landers, autonomous sensors, and ship‑based sampling
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of methods for optoacoustic data analysis. The Mission: The successful candidate will play a key role in advancing the development of the world’s first portable mid infrared optoacoustic sensor (MiROS) for non
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, reliability, and consistent behavior. Learning-based controllers can achieve high performance in complex and uncertain environments, yet ensuring predictable operation under distribution shifts, sensor noise
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: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based and satellite-based
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). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together