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: Develop 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
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at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining
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geriatric care in the Strukturwandelregion (former coal-mining region) of Saxony-Anhalt. The successful candidate will observe, follow, and engage various stakeholders (tech companies, care workers, local
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regulatory processes. Develop analysis pipelines for pre-processing, normalization, and statistical modeling of high-throughput sequencing data. Integrate and mine public datasets to complement in-house