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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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. Contract funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 951146)
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independent. About the lab Fátima Gebauer group is in the Genome Biology Programme of the CRG. She leads a team of motivated researchers working on RNA regulation and translational control in human cancer
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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
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Languages Fluency in written and spoken English Computer skills Skilled with data analyses software (R/Python) Experience with using high performance computing clustersAdvanced MS Office experience