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life-long follow-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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materials performance. Developing the understanding of the piezoelectric film structures and their functional properties using characterization techniques such as AFM, XRD, SEM and DBLI and detailed analysis
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