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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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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
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processing in the mammalian cochlea in vivo , and how these influence central auditory neuronal pathways. The project will primarily involve using in vivo 2-photon imaging and AAV-gene delivery applied to a
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activity will be academic research in association with a faculty member or team. The appointee will be responsible for preparing samples for X-ray and electron microscopy (EM) imaging (e.g., animal
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Post-doctoral Research Fellow Level 1 or 2 in Microbiology Imaging, UCD School of Chemical and Bioprocess Engineering, 18 months Applications are invited for a temporary post of a Post-doctoral
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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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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the Biological Sciences. Interdisciplinary skills and approaches in Genomics, Advanced Imaging, Biochemistry, Bioinformatics, Cell Biology, Mouse models, and Research Translation are desired. This is an ongoing
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
remote sensing SAR image sets Experience in programming and in automation of image data processing Interest in the development of interferometric SAR data sets for large-scale AI and FM training Basic
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these intricate immunological processes. Using advanced bioengineering methods and innovative molecular tools, this project aims to: Develop robust 3D skin-on-a-chip models incorporating genetically engineered