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initiatives, and IECMH-focused evaluation partnerships. This position offers advanced training in applied research, project management, data analysis, and grant development, with opportunities to co-author
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platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations
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cancer biology are strongly preferred. Expertise with ChIP-seq RNA-seq and data visualization/analysis is strongly preferred. Experience with CRISPR/Cas9 KO technology is strongly preferred. (Molecular
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or equally, microbiologists with a solid background in computational analysis of omics data. Projects will apply computational, statistical and bioinformatics approaches to integrate multi-omics’ datasets