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on i) phylogenomic inference of hundreds of whole genomic data already available; and ii) investigating rates of evolution across the genome and their correlation with phenotypic traits across various
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of terrestrial vertebrates on Earth today with 11,000 species. A Ph.D. in Evolutionary Biology, Computational Biology, or related fields, is required. The work will focus on i) phylogenomic inference of hundreds
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techniques, and differentiable programming). Inference tools for interpretive analysis of experimental and simulation data. Foundational research in Machine Learning for partial differential equations (PDEs
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). Inference tools for interpretive analysis of experimental and simulation data. Foundational research in Machine Learning for partial differential equations (PDEs). Innovative algorithmic and methodological
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; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL
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; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine