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, and the ability to work effectively with a wide range of constituencies in a complex and diverse setting ● Proficiency with statistical computing (e.g., R, Python or C/C++) ● Demonstrated
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development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub
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history in peer-reviewed journals to demonstrate research success. Preferred qualifications A strong background in immunology Experience with R and/or the analysis of sequencing data sets Interested
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. Experience and training in longitudinal data analyses, particularly multi-level modeling and structural equation modeling. Proficiency in statistical analysis software (e.g., SPSS, R, MPlus, SAS). 2
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experimental procedures to investigate underlying molecular mechanisms. strong quantitative background, ideally with SAS, R, and genomics analyses programming skills familiarity with common bioinformatics
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pneumococci, pandemic and seasonal influenza, respiratory syncytial virus (RSV), EBOLA, SARS-CoV2, and Chikungunya virus. The ideal candidate will have strong quantitative and programming abilities (ideally R
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
data using Python, R, etc. Preferred Qualifications, Competencies, and Experience Desired qualifications are a) atmospheric and aerosol chemistry, b) proficiency in HPC, and working in a cloud computing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
processes from multiple emissions sources as represented in current models, and quantitative analysis of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models
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. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication Additional Information: Location: Pelotonia Research Center (1040