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testing and data analysis with opportunities to work in a multidisciplinary team and contribute to publications and funded research projects. Primary responsibilities: a. Perform catalyst characterization
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and cellular biology, microbial pathogenesis, host–microbiota–pathogen interactions, microbial genetics, or related disciplines. Candidates with experience in bioinformatics and omics data analysis
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, (extraction, handling, and analysis). Experience with molecular biology techniques (e.g., qPCR, sequencing-based approaches). Experience working with complex or mixed microbial cultures. Ability to analyze and
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Transformation. The postdoc applying for this position should have an advanced understanding of population science statistics and the ability to independently conduct statistical analysis on large health-related
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, simple column chromatography, UV visible spectrophotometry and titrations, protein and cofactor quantitation’s, standard curves, analysis of spectra, making figures, biochemical spectroscopy of another
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and cellular biology, microbial pathogenesis, host–microbiota–pathogen interactions, microbial genetics, or related disciplines. Candidates with experience in bioinformatics and omics data analysis
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and cellular biology, microbial pathogenesis, host–microbiota–pathogen interactions, microbial genetics, or related disciplines. Candidates with experience in bioinformatics and omics data analysis
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following disciplines: bacterial genetics, molecular cloning, gene editing approaches, host–pathogen interaction models, immunological assays (including cytokine analysis, flow cytometry, ELISA, Western
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. The postdoc applying for this position should have an advanced understanding of population science statistics and the ability to independently conduct statistical analysis on large health-related datasets
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the College’s research infrastructure by: Providing support in data management, quantitative and qualitative analysis, and manuscript development. Supporting proposal development for new external funding