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collection and analysis of the GreenFamily randomized crossover trial. The research will combine quantitative and qualitative approaches to generate insights that are both scientifically rigorous and
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the digital models into different simulation environments and to support the testing and training of medical robotic systems. The successful candidate should have a strong background in medical image analysis
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protein tagging Biochemistry Optical and quantitative microscopy Strong analytical and quantitative skills Experience with live-cell imaging, image analysis, and interdisciplinary research will be
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Biochemistry Optical and quantitative microscopy Strong analytical and quantitative skills Experience with live-cell imaging, image analysis, and interdisciplinary research will be considered an advantage
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engineering, data science, statistics, mathematics, physics or an adjacent subject, with focus on medical image analysis and/or deep learning. Furthermore, the following competences will be expected
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) experience Medical imaging analysis Surgical path and motion planning Artificial intelligence Furthermore, for both positions, previous publications in major robotics journals or conferences are a plus, and