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) software for topology-informed biomedical image analysis and large foundation models. You will be responsible for Develop new machine learning algorithms for microscopy image analysis problems (2D/3D/4D/5D
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. The advertised position is part of the DFG research unit C3SAR (Cloud 3d Structure And Radiation), coordinated by the Leibniz Institute for Tropospheric Research in Leipzig with partners at the Universities
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biology techniques, including high-dimensional flow cytometry, immunofluorescence gene expression analysis, cell culture (2D and 3D) and microbiology. Excellent communication and organizational skills, with
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robust protocols to generate human 3D retinal organoids (RO) by reprogramming induced pluripotent stem cells (iPSCs) derived from dermal fibroblast of patients and healthy individuals. As ROs contain all
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and simulation tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction
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microfluidic techniques and 3D cell culture, you will grow human microvascular tissue on chip whose architecture self-organizes in response to vasoactive substances. Your work will lead the way to applications
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transported nutrients. Combining micro-fluidic techniques and 3D cell culture, you will grow human microvascular tissue on chip whose morphology self-organizes in response to vasoactive sub-stances. Your work
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well as knowledge representation and inference. In the research project DrawOn, new technologies for analyzing 2D digital drawings and reconstructing 3D building models will be developed. The goal of this project is