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using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, complex nano-structured materials and machine learning tools
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of molecular and biological matter using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, complex nano-structured materials and
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, offering new opportunities to develop novel X-ray imaging techniques that were not possible before. This project aims to develop and demonstrate a novel X-ray imaging technique based on scattering to explore
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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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one of tha main contributor to the In-situ X-ray diffraction experiments performed for studying the formation of new silicides using both large volume presses such as multi-anvil and Paris-Edinburgh
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using a combination of classical and advanced techniques including optical and NMR spectroscopy, surface plasmon resonance, light and X-ray scattering, cryo-electron and fluorescence microscopy
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, synthesis, mass spectrometry, X-ray scattering, data analysis / scientific programming (Origin Pro, Igor Pro, Python, Labview). High motivation for further training and academic qualification (doctorate
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(XPCS) that is analogous to dynamic light scattering using X-rays. XPCS allows studying motions in several disordered systems ranging from complex fluids, colloids, vesicles, proteins to glasses. The high
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PhD position on ID14: Linking Elasticity of (Mg₁₋ₓFeₓ)O to Seismic Anomalies in Earth’s Lower Mantle
Experience in high-pressure, solid-state physics, nuclear resonance scattering, x-ray diffraction, and/or other synchrotron techniques is desirable but not required Proficiency in English (working language at
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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