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Description PhD Student (f/m/d) EU MSCA-Doctorate Network COMBINE: Experimental analysis and simulation of flow-induced vibration in gas-liquid two-phase flow With cutting-edge research in
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methods will comprise state-of-the-art spectroscopy (vibrational spectroscopy) and microscopy (scanning tunnelling microscopy, atomic force microscopy) in ultra-high vacuum at liquid/solid interfaces and
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free electron lasers offer a new route to the structure determination of biomolecules. Due to the super-low signal-to-noise-ratio, computing the structure from such data is challenging, and new
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intrinsic noise. These skills will be gained in part through scientific research that applies techniques from statistical and condensed matter physics to understand how phenomena in biological systems – key
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for the automated analysis of very large DAS datasets will be systematically extended. The doctoral research topic focuses on the localisation of seismic noise sources using machine learning. About your role