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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering
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for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute to the studies of protein
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or electrolyzers, H2O2 production, or electrochemical CO2 reduction. To do so, the stability of newly developed catalysts is of pressing concern. You will continue our research line around stability assessment
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