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- University of Amsterdam (UvA); 26 Sep ’25 published
- University of Twente (UT); Enschede
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applications to medical imaging and robotic systems. In this role, you will contribute to the development and implementation of cutting-edge AI solutions for real-time image-guided medical applications. You will
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of developing cutting-edge deep 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
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Vacancies Postdoc position on reinforcement learning on real-time image/video processing for medical robot Key takeaways In this role, you will be responsible of developing cutting-edge deep
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combined with the ability to work efficiently both independently and as part of a team. Moreover, you have: a PhD in (bio)medical sciences/molecular imaging; research experience in molecular imaging
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intelligence-based automated interpretation of medical images, and new knowledge on the human visual system into the screening mammography reading process. Combining these new capabilities and new knowledge has
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Vacancies Postdoc position on deep learning based medical imaging for medical robot Key takeaways In this role, you will help develop and implement cutting-edge AI solutions for real-time, image
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laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge on the human visual system
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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preferably start around 01-12-2025 and requires knowledge of geometric image processing and machine learning. Information As Post-doctoral Researcher within VICI Project "Geometric Learning for Image Analysis
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19 Sep 2025 Job Information Organisation/Company Leiden University Medical Center (LUMC) Research Field Medical sciences » Medicine Researcher Profile Recognised Researcher (R2) Country Netherlands