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Field
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evaluation routine for area detection of microscope images of salt solutions during solidification Linking the time curves of the automated area evaluation and simultaneously recorded heat flow signals of a
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are already routinely used. E.g. AI-assisted medical image analysis of CT or MRI images helps to improve the diagnosis and efficiency of medical treatments . Also in material science increasingly AI-based tools
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will apply cutting-edge imaging technologies such as volumetric EM, cryo-ET and state-of-the-art image segmentation to study changes in the cellular architecture of diverse fungal pathogens during
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Chair of Biological Imaging 30.01.2026, Academic staff Researcher (m/f/x) with an engineering or physics background and a motivation to drive the technology towards the market. The lab The Stiel Lab
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for BlueMaterials?, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 16 days ago
Developing new fabrication processes for CaF₂, sapphire, and BK glass Collaborating closely with industry partners in areas including lasers, imaging cameras, and display technologies Preparing and supporting
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processing challenges. By focusing on automation and enabling correlative imaging in particular, it will streamline image processing efforts and enable the elucidation of specific mechanisms of water-material
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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a the candidate (m/f/x) who will use the combination of our spectroscopy infrastructure, and structural information
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physics, materials science, computer science or a related discipline background in one or more of the following areas is desired: X-ray or electron imaging techniques, and image processing proficiency in
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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally