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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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, urban or trade models. Proficiency in Stata. Knowledge of R, Matlab and/or Python. Prior experience in working with spatial data. Documented research track record at international level, including
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software development (mostly in R, or in Python/TensorFlow/Keras/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts. Starting Date
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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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systems and their applications, whether supporting ESA missions and projects, ESA R&D activities, or ESA working groups on AI; supporting the creation of an AI strategy for use in space systems and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 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 | 2 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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-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 | 2 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