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structures and processes to create biohybrid systems and living materials. These innovations are designed to develop sustainable technologies with unique characteristics. Join us and contribute to impactful
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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synthesis (primarily powder-based bulk synthesis) and realize 2D materials through selective etching. The materials will be characterized with respect to structure and composition (XRD, SEM, EDX, XPS, TEM
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and 3D compounds, their synthesizability and properties. This will be achieved by construction of databases and systematic evaluation of thermodynamic aspects related to synthesis and tunability
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photophysical processes in organic semiconductors. You will be responsible for the design and construction of a new ultrafast spectroscopy setup, including developing the custom code to perform the measurements