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for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
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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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principles of embryonic development. Our team employs various vertebrate models, from sharks to mice, and modern approaches (single-cell omics, multiplexed HCR, 3D and high-resolution imaging, micro-computed
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models. Your tasks: Research, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in
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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