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fields such as computer vision and natural language processing, graph-structured data remain a rich frontier for methodological innovation, with many fundamental challenges and exciting opportunities ahead
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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strategy and vision for the research group help develop and execute the funding strategy for the group tasks for own scientific qualification (habilitation) Requirements: completed scientific university
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interdisciplinary research infrastructures and local and international collaborations to generate knowledge that strengthens individuals and society. Our vision is that of a healthy environment and an open society
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, computational modeling, computer vision, natural language processing, or related AI-based methods. Strong programming skills, preferably in Python. Experience working with complex, multimodal datasets and
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interdisciplinary research infrastructures and local and international collaborations to generate knowledge that strengthens individuals and society. Our vision is that of a healthy environment and an open society
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analysis, ideally using Python-based tools and frameworks, with familiarity in areas such as statistical modelling, machine learning, computer vision, or optimisation approaches for experimental systems