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Field
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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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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 | 1 day 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 | 1 day 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