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). The candidate will design and apply integrative data analysis (computational/statistical/causal) and visualization techniques for multi-omic (transcriptomics, mirnomic and proteomics) data to address research
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benefit from a well-structured and personalized training and mentorship program, including experimental training, regular meetings, seminar attendance, data analysis and presentation. Project description
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effects) and metagenomics (microbiome profiling using deep shotgun sequencing data, detecting horizontal transmission). We are mostly computational but have a small lab component and work in close
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