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offers opportunities, an environment, and a culture that just aren’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology, and want to be
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to join our dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of
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presenting technical work at scientific conferences Required Qualifications: Required qualifications PhD in engineering, neuroscience, biostatistics, bioinformatics, computer science, or a related quantitative
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solutions, which typically involve data-driven AI approaches, relying on neural networks, reinforcement learning, graph neural networks, etc. In this PhD position, you will build on our expertise in