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Job Description RISC-V open source and open standards as the nucleus for new platform models help to improve overall flexibility and productivity for a wide market access. Given the challenge
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research in the field of modern high voltage polymer electrolytic capacitors, develop models for lifetime prediction, methods to predict and test for reliability, understand physics of failures at elevated
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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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” (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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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
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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