Prediction of probiotic potential from whole-genome sequences

The BioData department of the Lesaffre Institute of Science and Technology is seeking a highly motivated Intern to work at the interface of bacterial genomics and machine learning, and contribute to our ongoing projects in probiotic genome analysis. In this role, you will have the opportunity to apply state-of-the-art machine learning techniques to analyze bacterial genomic data and uncover novel insights about probiotic potential and functionality.