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massively parallel selection experiments to tackle the fundamental encoding problems of molecular biology. Towards this goal we have developed, benchmarked, and applied at scale experimental methods that use
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-based principles. The successful candidate will train, benchmark, and develop deep learning architectures. They will work in high-performance computing environments and apply expertise in statistical
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lab The main interests of the group are to dissect the mechanisms and factors that control somatic cell reprogramming and tissue regeneration in mammals. Computational approaches are employed
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effects) and metagenomics (microbiome profiling using deep shotgun sequencing data, detecting horizontal transmission). We are mostly computational but have a small lab component and work in close
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effects) and metagenomics (microbiome profiling using deep shotgun sequencing data, detecting horizontal transmission). We are mostly computational but have a small lab component and work in close