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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 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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-based image analysis and feature extraction, SWAT, Google Earth Engine, ERDAS IMAGINE, ENVI, R, and/or Python. Analytical ability to include geospatial mapping and data analytics skills using ArcGIS Pro
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 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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. • 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
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The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar, Interdisciplinary Data Science, College of Engineering [R0144891]. *Revised* ROLE of the POSITION The Howard R
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setting Previous experience with clinical populations, neuroimaging or neuromodulation, or computer programming is a plus Technical skills (e.g., Python, R, Unix) are also highly desired but not required
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blot, PAGE, RT-qPCR, RNA immunoprecipitation, etc.) Prior experience working with RNA structure and NGS, as well as experience in bioinformatics and data analysis (i.e. R, Python, Perl) is a significant
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and prior DNA repair experience will be prioritized. Basic to advanced experience with R and/or Python. Excellent oral and written communication skills and be able to work effectively with collaborating
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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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statistical analysis software (e.g., SPSS, R, or SAS and Mplus). 3. Excellent Communication Skills: Ability to communicate research findings effectively through oral presentations, conference talks, and written