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direction explores how developmental processes shape and constrain phenotypic variation. Although phenotypic datasets are often high-dimensional, variation frequently lies along a much smaller number of
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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processes. Projects can include assembling, sharing, integrating, and advanced analysis of large amounts of data from diverse sources, including experiments, observations, and simulations, to gain a deeper
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