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modeling to create a predictive tool that spans orders of magnitude in length and time. Hands-On Numerical Modeling: Implement your model in a custom-made data analysis tool that uses advanced optimization
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(ILL). The current ML models are optimized mainly for (monochromatic) X-ray reflectometry. We aim to generalize this approach to a wide range of samples and time-of-flight NR, coupled with automatic data
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scientists, the direct PhD supervisor and a co-supervisor. BIGS DrugS aims at creating an optimal research and education environment for PhD students and provides support for a successful scientific career
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scientific background and interests. This guarantees an optimal level of preparation for a high-profile career in research or industry. Course organisation In addition to the regular courses which are part of
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miniaturisation into a hand-held device relies on this deep understanding of the physical principles, presenting an optimal starting point for this project. A novel integrated maser device has great potential
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assist the research progress of doctoral students towards graduation without delays, thus ensuring an optimal graduation time of four years for PhD candidates. Because of the close ties with the research
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preceding the programme. Application deadline None Submit application to enwat@f02.uni-stuttgart.de Please clearly indicate which of the announced projects you are applying. Possibility of finding part-time
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