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high-throughput sequencing to generate, analyze and integrate transcriptomic and epigenetic datasets To genetically (CRISPR/Cas9, shRNA) or pharmacologically (small molecules) perturb molecular targets
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simulation and machine learning funded by the Klaus Tschira Foundation. Profile Solid grounding in statistical mechanics Experience with machine learning and/or molecular simulation; strong Python and PyTorch
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4 years until 30 September 2030. The PhD candidate will work as part of an international team, consisting of the PI, the project manager, and several postdoctoral researchers responsible for their own
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