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, complex dynamical systems analysis, efficient generative learning methods for statistical mechanics, highly accurate machine learning methods for quantum mechanics and inference and enhancement of cutting
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to study complex biophysical processes on long timescales. We use data-driven methods for systematic coarse-graining of macromolecular systems, to bridge molecular and cellular scales. We work on a
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intelligence, automation of processing chains and the creation and management of databases • Ability to analyze complex problems, develop innovative solutions and understand the requirements of research projects
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