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will integrate single-cell transcriptomic atlases from diverse species to study cell type evolution. We welcome enthusiastic applicants with a broad interest in evolutionary biology, gene regulation, and
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be in charge of finishing ongoing projects in the group, involving the development of probabilistic methods for the identification of non-coding cancer driver elements and of the tumor mode of growth
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state-of-the-art infrastructures, and unique professional career development opportunities. To check out our training and development portfolio, please visit our website in the training section . We offer
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