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Field
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of microbial species based on genomic data. Additional optional skills and qualifications: experience in soil microbiome analysis, knowledge of bioinformatics with soil metagenomics data. Contracting
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microbial taxonomic profiling, functional annotation, and genome-resolved metagenomics (MAGs). Familiarity with best practices in data management (e.g., Github), and reproducible research. Ability to design
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sequencing (NGS) and omics data analysis. Knowledge of microbial ecology, dysbiosis, and host-microbiome interactions. Familiarity with cell culture techniques. R, Python, or other data science tools
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vehicles such as lipid nanoparticles (LNPs) • Create experimental protocols for cancerous, healthy human and microbial model cell membranes. • Establish predictive models for peptide-induced transport
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will apply predictive, Bayesian modelling for predicting performance of microbial consortia based on mass transfer, metabolic pathways and proteomic analysis. The work plan will also include developing
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, and fertilizers to assess nutrient uptake, soil health, and fertilizer efficiency. Use advanced analytical techniques to measure nutrient availability, soil microbial activity, and plant responses. Data
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understanding of computational algorithms and statistical modeling and a working knowledge in molecular biology, microbiology, and microbial ecology • possess a working knowledge on genomic sciences and