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of methods for anomaly detection and disease recognition based on learned normative representations • Development of vision-language models for clinical reasoning and interpretable reporting of medical imaging
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100
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22.03.2021, Academic staff The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine learning, and
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that already worked in one of our research fields (see below). Your main tasks will be to help us further define our vision, leading projects, and strengthening existing as well as establishing new