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functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams
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microbial ecology, with experience in high-throughput sequencing techniques and bioinformatics analysis. Expertise in soil science, including soil nutrient cycling, soil microbiology, and ecosystem processes
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transdisciplinary research initiatives that align with global food system challenges and opportunities (climate resilience, biodiversity, land degradation). • Supervise and mentor research teams and postdoctoral
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team. Identification of the isolated strains using 16s RNA and ITS Conduct the whole-genome sequencing experiment of the selected strains. Conduct taxonomy characterization and analysis of selected
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whole-genome sequencing (WGS) on microbial samples from various environments (clinical, environmental, tumor-associated microbiomes). Develop and implement bioinformatics pipelines for resistome, mobilome
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phosphorus research and propose strategic directions that align with GPI’s mission. Focus on exploring novel non-agricultural phosphorus applications that promote sustainable practices across multiple sectors
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communities in soil environments. Develop and optimize laboratory protocols for characterization, and functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil
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the agricultural, environmental and health sectors. The lab also provides bioinformatics consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers
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modalities. Therefore, the ideal candidate will be expected to conduct homologous overexpression, gene silencing, sequence analysis and contained phenotyping. Education A PhD in Molecular Biology, Genetics
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research, particularly in gut microbiota. Experience with next-generation sequencing (NGS) and omics data analysis. Knowledge of microbial ecology, dysbiosis, and host-microbiome interactions. Familiarity