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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
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: 100% Laboratory research • Perform experiments at the bench level to support investigative work (DNA/RNA isolation and analysis, protein isolation and SDS-PAGE analysis, standard molecular biology
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, and microbial ID analysis. -In this context, you might be expected to generate new research ideas and lead development of new research proposals. -You will also be expected to design and develop a
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning