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of efficient ML/AI/QC software solutions Preparation of publications for internationally renowned journals and presentation of research results at (top ML) conferences Cooperation with project partners
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research: Develop and analyze dynamic models and guidance and control algorithms Conceptualize and develop sample scenarios, roadmaps and trade-off analyse Code software libraries and perform computational
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(GIWAXS) and others) Contribution to the scattering data analysis and support of data/metadata formats developed in the group Integration of the developed software into the computational environments and
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for future researchers. Thematically, CAUSE covers all levels of digital systems, from system-of-systems over software stacks to digital hardware. PhD students in CAUSE will cooperate closely to investigate