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within the University 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
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segmentation of organs from medical images; generation of simulation-ready surface and volumetric meshes from segmentations; and modelling realistic boundary conditions, particularly the interaction between
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Chair of Biological Imaging 02.02.2026, Academic staff We now seek a highly qualified and motivated Post-doctoral researcher (f/m/x) to drive the development of a novel quantum enhanced microscope
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-doctoral candidates willing to write research proposals on the functional morphology of organisms via dynamic X-ray imaging. Position X-ray imaging is a powerful method for analysing functional morphology
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into operational decision‑support tools for farmers, in close collaboration with an industry partner. The project focuses on automated rumen‑fill assessment using 3D imaging, computer vision, and predictive
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100% postdoctoral position within the Department of Radiology. The primary focus of this research position is to assist in innovative MR image reconstruction and pulse sequence methods. The successful
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microscopy, and technical writing. Hands-on experience with imaging flow cytometry, brain tissue homogenization, homogenate analysis protocols, and cell separation and lysing methods are a plus. Job Duties
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied