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The culturally diverse Research Group “Plant Architecture” is primarily interested in basic research questions concerning how cereal inflorescences, called spikes, develop and how this contributes
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team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You
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the professional provision of research and patent information to science and industry as well as the development of innovative information infrastructures, e.g. with a focus on research data management, knowledge
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