Genome-Wide Association Study (GWAS) Pipeline Development
Interns will design and implement automated GWAS pipelines using Python and R to identify genetic loci associated with complex traits and diseases at population scale. This includes quality control workflows, statistical association testing, and integration of results with biological databases for interpretation.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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