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-scale training of a foundational pelagic imaging model, which will be fine-tuned for species classification, trait extraction, and particulate organic carbon estimation. The model will allow to establish
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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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`liquid-liquid phase separation' (LLPS). We will use programmable, multi-component model systems of biomolecular phase separation to investigate the transport of biomolecular information, stress, and light
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