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biomedical data. Programming using one or more of the following: Python, R, Javascript. Clinical informatics experience in large scale academic projects and/or industry environment. Strong grasp of study
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experience in relevant area. Knowledge or interest in Natural Language Processing, ideally as applied to big biomedical data. Programming using one or more of the following: Python, R, Javascript. Clinical
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technologies and methodologies, and Geographic Information Systems software (e.g., ArcGIS, QGIS), Python, and Matlab is required. Knowledge of other programming languages (e.g., C, C++, R, Javascript) is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
), especially using Google Earth Engine (preferred). - Proficiency in Python, JavaScript, or R for geospatial analysis and modeling. - Experience handling large-scale Earth observation data, including cloud-based
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, social network analysis. Experience developing software prototypes using python, JavaScript/node.js, modern reactive web frameworks, visualisation technologies (e.g. SVG, D3.js). Experience designing
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demonstrated by both academic qualifications and a track record of peer-reviewed publications. Required Skills: Proficiency in programming languages such as C# (Unity), and Python or JavaScript (for statistical
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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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