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with high-performance computing (HPC) environment, cloud-based computation, software tools for genetic epidemiologic analyses (e.g. GWAS, whole-genome sequencing, polygenic score, Mendelian Randomization
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with special needs patients and families, strong sense of research ethics, team skills, good English language skills, and good organization are expected. Additional expertise in statistical software
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epidemiologic and biostatistical training and be proficient with R-statistical software. Prior experience with single omics data and multi-omics integration (e.g., DNA methylation, transcriptomics, proteomics
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