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of Münster developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in vascular, inflammatory
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with
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intelligence methods for data analysis, including image data processing present results through reports and presentations to scientific and clinical audiences perform heterogeneous data analysis in the context
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Your group The Prevedel group in Heidelberg is seeking a postdoc with an applied physics and/or engineering background to work on advanced imaging techniques for applications in biology and
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, maintenance, and data analysis. Strong background in MS-based proteomics data analysis and familiarity with modern computational tools. Additional experience in high-throughput proteomics, low-input proteomics