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or High-Performance Computing clusters for GPU-intensive tasks. Desired: Masters degree in computer science, Data Science, Digital Humanities, or a related field. The College of the Arts and Sciences
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. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential expression, clustering
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. * Familiarity with machine learning methods (e.g., classification models, dimensionality reduction, clustering). * Experience analyzing epigenomic data * Prior work in hematologic malignancies or cancer genomics
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