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settings, autonomous systems need to adapt to changing requirements and conditions while ensuring highest levels of quality in the production process and safe interaction with human co-workers and other
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bioplastics under relevant conditions. Develop and validate machine learning models to predict degradation behaviors of bioplastics under scenarios relevant to various environmental and industrial conditions
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levels engage in collaboration with industry and authorities. investigate sensory properties and their correlations to chemical, physical or other relevant properties/conditions use multivariate
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spectroscopy (important). Experience with building UHV systems. Experience or a desire to learn about quantum device fabrication. Experience in modeling with 3D CAD like autodesk inventor. A strong grasp of
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” (CoDeF). In the future weather-driven energy system consumers and citizens will play an important role through flexible energy use and matching demand to available renewable energy supply. Nonetheless
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infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs offer computational efficiency and
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generalization. However, existing machine learning theory does not fully explain this behavior, leading to the development of new approaches. A promising explanation is that models are implicitly regularized