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Field
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Proficiency in Python, R, or similar languages for data analysis and tool development Experience with forensic analysis tools and methodologies for digital evidence Knowledge of GIS software, satellite imagery
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and stakeholder-engaged research, excellent written and spoken communication skills in English (Level C1) Preferred Qualifications: Proficiency in programming and data analysis tools (e.g., SQL, Python
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with data from different sources, e.g. U.S. Census Bureau. · Familiarity with GIS (Geographic Information Systems) e.g. ArcGIS Pro, ArcGIS 10, or QGIS). · Exposure to programming
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Qualifications: Proficiency in programming and data analysis tools (e.g., SQL, Python, R, GIS platforms), experience with integration of human subject data (e.g., questionnaires, interviews, eye-tracking
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Bachelor's or Master's degree program in Computer Science, Data Science, Engineering, GIS, or a related STEM field. Strong proficiency in a programming language such as Python (preferred) or JavaScript
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area. This position has a strong knowledge in analytics, is proficient in a general programming language (like Python) or a statistical package (R) and has an appetite for engaging in non-quantitative
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issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non
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in statistical programming (R, Python, Julia, MATLAB). Familiarity with GIS and spatial analysis tools (ArcGIS, QGIS, or R spatial packages). Ability to integrate multidisciplinary datasets
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predictive models for natural hazard-related data. Experience with data visualization tools and programming languages (e.g., R, Python, SQL). Experience with data management and data analytics in cloud-based
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the following: Describe and/or demonstrate proficiency with GIS systems. Describe and/or demonstrate proficiency with C#, .NET, JavaScript, HTML/CSS, Node.j. Describe and/or demonstrate proficiency in the various