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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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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
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cells from different mouse models with accelerated aging phenotype. The work of the PhD candidate will include data mining and integration of these datasets with resulting identification of candidate
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