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to integrate variety and crop mixtures into breeding practices to bolster resilience and adaptability against climate change. By exploring the genetic architecture of crop mixtures and developing predictive
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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Department 5 of PIK is located. Key responsibilities: The candidate will be expected to contribute to projects aiming to optimize and ex-ante evaluate different components of an architecture for improving
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The Leibniz Institute for Financial Research SAFE - Sustainable Architecture for Finance in Europe - (www.safe-frankfurt.de ) promotes scientific research, transfer work to the public and