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, and phenotypic datasets into AI-ready resources, in collaboration with our data-management partners Develop, re-train, and fine-tune deep-learning models for predicting gene expression and transcription
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develop integrated energy-material scenarios up to the global level and the necessary models. On this basis, potential resource bottlenecks can be identified at an early stage and model-based strategies
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