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Field
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, from medical imaging—where we design advanced tools for diagnosis and decision support—to general vision tasks such as autonomous navigation, image-based localization, 3D reconstruction, and object
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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
Area of research: Scientific / postdoctoral posts Job description: Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Foundation Model" (m/f/d) Background
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3D medical imaging data. You will collaborate closely with clinicians to ensure your technical work addresses practical clinical needs, while contributing to publications, grant applications, and the
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nanosystems capable of selectively interacting with and activating cellular mechanosensors, offering unprecedented insights into cellular mechanobiology. In combination with state-of-the-art multicellular 3D
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, 2025, or as soon as possible thereafter. Project Overview This position is part of the LEO Foundation-funded research project titled “Exploring Autoimmune Skin Diseases with Immune-Integrated 3D Skin
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and analysing geochemistry data on regional- to global-scales. The platform enables users to interrogate geochemistry, geochronology and thermochronology data in 4D (3D through time), making EarthBank
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, transcriptome analyses and 2D and 3D image analyses, the latter using OPT and LSFM. The study also requires routinely used developmental and molecular biology methods, such as cloning of expression constructs
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approach that includes advanced bioimaging and image analysis, cell biology and genetics, and omics technologies. Qualifications We invite applications from candidates with a background in cell and
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neonates or adults for in vivo imaging. Competence in mechanical or optomechanical design (CAD, 3D printing) for custom animal and transducer mounts. Experience applying deep learning to medical