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knowledge of semiconductor physics, lasers, and optics. Ideally, experience in the field of transmission electron microscopy. High level of self-motivation, as well as enjoyment and skill in practical work
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workflow for the imaging of Mg-LPSO alloys via X-ray nanotomography followed by higher resolution imaging of the identified regions of interest using transmission electron microscopy and atom probe
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) software for topology-informed biomedical image analysis and large foundation models. You will be responsible for Develop new machine learning algorithms for microscopy image analysis problems (2D/3D/4D/5D
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electron microscopy at the Ernst-Ruska-Zentrum, the Julich Supercomputing Centre, the Neutron-SimLab or various physicochemical characterization methods and workshops Comprehensive training programs and
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tweezer, fluorescence life time imaging as well as light and atomic force microscopy among others. This project will help to build a novel approach to the generation of active surfaces and help
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, geomagnetism) and the development of corresponding numerical methods. We offer the opportunity to work in a small interdisciplinary research group consisting of mathematicians, computer (geo)scientists, and
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on conventional transmission electron microscopy (TEM) exposures taken in underfocus. In this project, we aim to further develop the imaging analysis capabilities for (scanning) transmission electron microscopy
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good experience in characterisation of thin films, including X-ray diffraction, electron microscopy (SEM, EDX and TEM), Atomic Force Microscopy (AFM), X-ray photoelectron spectroscopy (XPS), ellipsometry
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chemistry, biophysical analysis via optical spectroscopy as well as the detection of nucleic acid in homogenous solution and in situ. The project also involves fluorescence microscopy and flow cytometry and
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including size (using size-exclusion chromatography, dynamic light scattering and electron microscopy) and activity (using colorimetric and fluorescence-based assays) determination. Structural changes will be