DoE is essential for data-efficient exploration and optimization of the process parameter space, as well as for adaptive, data-driven machine learning approaches to map the electrolysis process to a digital twin. * Comprehensive knowledge of data science, data analysis, data management as well as machine learning * Experience with data-driven machine learning (SINDy, LASSO, SISSO packages)
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