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of molecular and biological matter 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
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learning tools 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
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experiments and develop new tools for data analysis. In addition to the main research project, you will be able to test your own research ideas using the unique experimental equipment in our laboratories and
Searches related to finite element analysis
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