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description The postdoc project will develop nanoscale X-ray diffraction (XRD) methods to image domain dynamics in ferroelectric materials. These are characterized by the existence of domains in which there is
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, Physical, Inorganic, and Analytical Chemistry. The teaching at the graduate level focuses on the master programs in Sustainable Chemistry and Analytical Chemistry. Research activities of MMK focus primarily
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machine learning. Strong background in scientific computing including coding experience in C++, Fortran, and Python. Knowledge of physics and mathematics of X-ray and electron microscopy. Knowledge
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the main supervisor of the project, please see: http://www.sljus.lu.se/staff/jesper-wallentin/ Subject description The postdoc project will develop nanoscale X-ray diffraction (XRD) methods to image
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matter. The projects often encompass synthesis, and characterization by X-ray, neutron diffraction, electron microscopy, electron crystallography, solid-state NMR, and computer modelling of materials with
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characterized using electron and scanning probe microscopy and x-ray spectroscopy techniques in combination with cyclic voltammetry. For further details on the methods that we use to electrochemically modify
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. All samples will be characterized with advanced investigation methods: X-ray diffraction, XPS spectroscopy, FT-IR spectroscopy, Raman spectroscopy, STEM and HRTEM electron microscopies, and UV-Vis
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, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide
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, electron- and x-ray-microdiffraction, and statistical methods to quantify heterogeneity and electron coherence in 2D and topological materials for quantum information science. Develop and employ new