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(clinical, environmental, tumor-associated microbiomes). Develop and implement bioinformatics pipelines for resistome, mobilome, and virulome profiling using tools such as MEGARes, CARD, VFDB, and
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metabolism. Key Responsibilities Lead metagenomic, proteomics, and metabolomic profiling of clinical and experimental samples to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data
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microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams of researchers, including soil scientists, biochemists, and ecologists. Publish research findings in peer
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
present at international conferences. Mentor graduate students and contribute to building capacity in AI and health data science at UM6P. Required Qualifications: Ph.D. in Bioinformatics, Computational
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Competitive international compensation and health insurance Expected activities. Conduct research as part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics, drug design and