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research and education towards the integration of advanced medical image computing for supporting computer-aided disease diagnostics and intervention planning. Responsibilities and qualifications In
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at an international level developing deep learning, vision transformers, graph neural networks, foundation models, or related methodologies for integrating diverse imaging data with clinical, laboratory, and genomic
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or sensory biology is required and a PhD degree or similar is an advantage. Prior experience with machine learning, acoustic analysis, image analysis, stereo video 3D reconstruction, signal processing and
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similar and have substantial experience with machine learning. Experience with generative AI for image is a large advantage, and computer vision experience is a plus. Furthermore, as AI:Xpertise is about