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advanced data mining and machine learning techniques, we will extract valuable data from databases, data repositories and non-strucured data sources (e.g. scientific articles and supplementary materials
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numerical modeling, and physics-informed ML with the following key aspects: - Data mining through micromechanical/mesoscale simulations (Discrete/Finite Elements). - Collaboration with experimentalists
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this project involves a synergistic combination of numerical modeling, and physics-informed ML with the following key aspects:- Data mining through micromechanical/mesoscale simulations (Discrete/Finite
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, viral gene transfer, multi-parameter flow cytometry, in vivo experiments, NGS-applications and bioinformatic data mining. Highly motivated with a genuine interest in cancer research. With a curiosity