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://doi.org/10.1101/2023.10.31.564945). In this project we will develop this idea into a prototype and then into a stable open-source microscope for the community. Further information about the Ries lab
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, the encoded motion data is built using dynamic motion primitives. A Machine-Learning approach is trained that takes into account both the encoding motion data and the image data to adapt learned skills
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of our team. Your future tasks: Active participation in research and teaching, which means: • You conduct research on the topic of your thesis. • You contribute to the further development of ICON
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narratives and actions for a sustainable future. We are seeking a senior Hub co-coordinator who shares this vision—someone who sees the bigger picture, a team player who aims to make a meaningful impact by
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experts at the Computational Imaging Research Lab (CIR ) and the Department of Cardiology at the Medical University of Vienna and Visualization and Data Analysis Research Group (VDA ) at University
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respect to the required combined high spatial, energy & momentum (q)-resolution for microscopic imaging, structural characterization and associated nanospectroscopic analysis at all energy scales