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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
of pathogenesis of the bacterium Clostridioides difficile, an obligate anaerobe and biosafety level 2 pathogen. This work involves genetic manipulation of bacterial genes for analysis of function and regulation
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. Under the direction of Dr. Mark Rossi (PI and founding member of CNM), the Postdoc will be responsible for the design, analysis, interpretation, and presentation in oral and written form of experiments
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About the Role We are seeking a Postdoctoral Research Associate to join the Genomics Diversity Group, a global leader in ancestrally diverse studies of non-communicable diseases. You will lead and
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for laboratory and field work Strong background in programming and data analysis (preferably Python) Excellent data analysis and publication capabilities Excellent communication skills in English, both written and
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk
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The Scientific Challenge: Microbial ecosystems are complex adaptive systems whose emergent behavior remains poorly understood from first principles. In particular, it is not clear how functional diversity (i.e
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experiments, training graduate students, data analysis, scheduled reporting to funding agency and/or collaborators, as well as participating in the laboratory duties. In this role it is critical
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, extreme events (e.g. heatwaves, droughts, floods, etc.), and their attribution, as well as related health, developmental and socio-economic impacts. The successful candidate will play a key role in
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of mental health, acute/chronic and pain related conditions, including sickle cell disease. · Data Collection & Analysis: Design and implement data collection strategies, including qualitative and
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the Metabolomics Core Technology Platform (MCTP). We seek an enthusiastic scientist who will operate, develop, and continuously advance spatial metabolomics services, facilitating cutting-edge research across