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Posting Details Position Information Job Title Post-Doctoral Fellow - Spermosphere Microbiome Assembly and Seedling Metagenomics Posting Number P1756F Position Summary Information Job Description
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microbiome bioinformatics and/or metagenomics to join our team. Job description You will join a collaborative team of scientists who develop and use molecular, deep sequencing, and bioinformatics methods
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Laboratory (ORNL) in the area of microbial ecology and metagenomics. associate in the area of microbial ecology and metagenomics. You will join international and interdisciplinary teams of investigators
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 1 day ago
on the performance of metagenomic classification software with the objective of improving the design of reference sequence databases used. The research will be computational in nature, using computer simulation and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 25 days ago
reliable, pathogen-agnostic early warning of future pandemics through untargeted metagenomic sequencing. Responsibilities include co-leading the wet-lab research team, designing and carrying out complex
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metagenomic data and bacterial genome assembly and annotation. a background in cryo electron microscopy. Technical expertise in biochemistry, molecular biology and tissue culture could be advantageous.
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, virome analysis, bacterial metagenomics, and gene expression analysis (RT-qPCR, RNAseq). The final candidate will be expected to carry out research activities for projects that involve these areas
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Categories:Agriculture / Life Science Job Description The incumbent will lead the development and implementation of a metagenomic/genomic analysis pipeline, database, and web interface for use in plant and animal disease
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identification of the constituents within complex microbial populations are a key area of need for biodefense, clinics, environmental, and microbiome analyses. Metagenomic sequencing holds the promise of enabling
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-doctoral candidates should have a strong publication record, experience analyzing next-generation sequencing data (e.g., metagenomic, metataxonomic, and/or metatranscriptomic data) and have experience using