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statistical methods for genetic and genomic data analysis; proven ability to build and maintain collaborative networks across academia, industry, and international partners; strong organizational skills and the
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projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome
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