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(scRNA-seq) data, and structural data from cnidarians, and we will develop new algorithms to analyze the evolutionary history of muscle components. You will study the evolution of muscle components during
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bioinformatic activities, focused on developing and applying Multi-Objective Optimization (MOO) algorithms and Pareto-front thinking to understand how different individuals/lineages come to possess different
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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make a difference in the world! Position Information Texas A&M AgriLife Research is seeking an outstanding, innovative, and dynamic individual to fill a 12-month, non-tenure track faculty position