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advantageous: Experience in laboratory work, including casting and testing mortar and concrete, as well as the use of general testing and characterization methods, is a prerequisite Experience in using X-ray
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the synchrotron-based imaging technique Dark-Field X-ray Microscopy and together we utilize it to visualize the evolution of internal structures in metals during plastic deformation, i.e. changes in shape due
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electron microscopy (TEM), and X-ray photoelectron spectroscopy (XPS) You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's
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an original and self-defined line of inquiry. The project must, however, remain grounded in the context of vocational education and focus specifically on learning cultures within vocational schools. This PhD
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line of inquiry. The project must, however, remain grounded in the context of vocational education and focus specifically on learning cultures within vocational schools. This PhD position offers a unique
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bioimaging (Abberior facility line STED, MINFLUX, Nikon 3D STORM and Nikon dual cam SIM). Opportunity to exchange knowledge, discuss project progress, and visit collaboration partners for cross-laboratory
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in-line characterization of surface quality and part accuracy. The researcher will furthermore contribute to the research group’s activities in natural materials-based manufacturing, with focus
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Rodrigues, Prof. Kira Vrist Rønn (SDU), and Associate Prof. Line Harder Clemmensen (KU). You will work on research focused on developing AI-enhanced Agent-based Simulation tools to support Intelligence
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theoretical models to describe the dynamics of quantum light sources, with the goal of understanding their behavior and improve their performance. You will work in close collaboration with the experimental team
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directions will be pursued to enhance column generation using machine learning. The first line of research focuses on improving scalability by using Graph Neural Networks to identify and eliminate non