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Field
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commonly used scientific scripting languages (e.g., Python, SQL, or R). We also seek candidates with good communication skills in spoken and written English, and an ability to produce state-of-the art
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, and Python to process vector and raster data for agronomic decision-making - Documented experience with producing educational communications and programming - Demonstrated ability to effectively
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with process-based models, including APEX, SWAT, EPIC, DayCent, or DNDC. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and
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. Software and programming experience may include: R, STATA, Esri Arcmap, python, Leaflet, PostgreSQL, CSS, JavaScript, JQuery, Bootstrap, PHP, QGIS, PostGIS, Mapserver, Tableau, Openlayers, Geoserver, R Shiny
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reviewed papers. Ability to work independently and as part of a team. Ability to mulit task and work cooperatively with others. Preferred special knowledge, abilities and skills: Advanced skills in Python
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(e.g., Mathematica, Matlab, Python, R), as evidenced in application materials. Demonstrated experience communicating clearly and effectively, as evidenced in application materials and peer-reviewed
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) software (e.g., COMSOL, ANSYS, or custom FEM codes) Proficiency in one or more programming languages (e.g., MATLAB, Python, C++, Julia). Strong written and oral communication skills Ability to work
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub, containers is recommended. Familiarity with cloud technologies, databases and Pangeo ecosystems is a bonus. The Term
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
, or a related field completed before the start date of the position Demonstrated experience with astronomical data analysis and software development Proficiency in Python programming Experience with large