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starting earliest on 1st September 2024. Our research group Our research group focuses on medical imaging working at the interface of the university and university hospital. We are a balanced mixture of
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models to profile cell and tissue samples imaged using 2/3D microscopy. The group is specifically focused on applying self-supervised representation learning and generative AI in computer vision to improve
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these positions, you will have a chance to make an impact by applying tools from artificial intelligence (AI) to improve the recovery of materials from recycling waste. In SC-vision project, you will be
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from more than 300 patients in the prospective Oncosys-OVA study, including sequencing, imaging and curated clinical data. Our multidisciplinary team has also developed experimental and functional models
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, statistical methods in signal processing, and analysis of images, video, speech, and audio signals. Industries are currently employing AI methods in numerous research and development tasks, e.g., in product