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Genomic Data Analysis for Foodborne Pathogen Identification

Applied Microbiology
Machine Learning Food Microbiology Research
Genomic Data Analysis for Foodborne Pathogen Identification
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Applied MicrobiologyMachine Learning Food Microbiology Research

Genomic Data Analysis for Foodborne Pathogen Identification

Interns will use bioinformatics tools and machine learning to analyze 16S rRNA sequencing and whole-genome sequencing data for rapid identification and characterization of microbial contaminants in food samples. They will develop classification models to distinguish between pathogenic and non-pathogenic strains.

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