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We use cookies which are necessary to make our site work. We may also use additional cookies to analyse, improve and personalise our content and your digital experience. For more information, see our Cookie Policy and the list of Google Ad-Tech Vendors . You may choose not to allow some types of...
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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reconstruction, processing and quality-control tools in a transparent and reproducible way. You will have the opportunity to: Develop a modern, open and extensible software ecosystem for optoacoustic image
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(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
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of the recruitment and description of the project With the rapid advancement of artifi cial intelligence technologies, intelligent information processing—which extracts knowledge from massive amounts of data
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multiple projects, meet deadlines, and adapt to evolving research priorities. Preferred Qualifications Research experience in medical image analysis, computer vision, multimodal learning, or longitudinal
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to translate scientific questions into reproducible, scalable analysis workflows using modern image analysis, statistical, computer vision, and machine learning approache The successful candidate will support
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Project Overview The Wearable Imaging for Transforming Elderly Care (WITEC) interdisciplinary research group (IRG) is committed to creating next-generation wearable imaging technologies tailored
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vision, multimodal learning, medical/industrial imaging, and related AI4X topics. Design, implement, train, and evaluate deep learning models and research prototypes using Python/PyTorch and related tools
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to directly enable pediatric cancer and catastrophic-disease research. CBI is a dynamic, close-knit team that develops and applies innovative AI and computer vision approaches for biological image analysis and