-
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
-
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
-
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
Enter an email to receive alerts for parallel-processing "CEA" positions