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, bioinformatics, and microbiome science to generate analyses that can change how we understand and ultimately prevent disease via the oral ecosystem. The two year long postdoctoral project is financed by the Kempe
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to disease. You will join a collaborative team working at the intersection of genetics, epidemiology, bioinformatics, and microbiome science to generate analyses that can change how we understand and
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highly interdisciplinary setting combining microbial mutagenesis assays, mammalian cancer models, next-generation sequencing, bioinformatics, and machine learning. Experimental data will be integrated with
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-stratification. We will finally use cutting-edge bioinformatics data science and AI tools developed in-house to analyze and integrate RNAseq and proteomics results from the cancer cells isolated from the blood