The division Data Analytics and Machine Learning (IAS-8) researches and develops methods and algorithms for Machine Learning (ML), Data Analytics, Image Processing and Computer Vision. The application focus is on data and problems relevant to Jülich foci, mostly involving tasks from imaging or other gridded data. The goal is to make advances in the methodology of Data Science and to apply these directly with Jülich institutes in the natural and material sciences, to make them usable, and thus directly build a translational bridge. New and further development of methodological approaches for the analysis and evaluation of big data on scalable HPC systems is particularly important here.