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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours 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 | about 19 hours 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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, modeling, and data science (e.g., Python, R, MATLAB). • Experience with version control systems (e.g., Git) and the ability to create publication-ready visualizations. • Excellent writing skills for academic
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laboratory equipment for human neurophysiology and computer programming experience with Matlab is advantageous, but everyone is encouraged to apply. Knowledge, Skills and Attitudes: Skill in collecting
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with parallel computing and high-performance computing environments; a working knowledge of FORTRAN; experience working with large NetCDF data sets; experience with Matlab and/or Python; an interest in
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Matlab, Python, and/or R programming languages is a plus. Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Analysis of fMRI and MR spectroscopy data Acquiring
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. Familiarity with wildfire modeling, risk assessment, or disaster management. Strong programming skills in Python, Matlab, R, or other relevant languages. Experience working with large datasets and high
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. Candidates will need programming skills in MATLAB and CAD software skills. The ability to communicate scientific results to both broad and expert audiences, orally and in writing, is indispensable
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or nucleic acids. Experience with mammalian cell culture and imaging Competent in molecular biology (cloning, and site-directed mutagenesis) Basic/advanced computer programming (Python, MATLAB, or R
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Expertise in quantitative modeling, computational and/or Bayesian methods Expertise using at least one programming languages in the analysis of scientific data such as R, Python, Matlab, or Julia. Expertise