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Field
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degree in Economics (Master of Science degree of advantage) ; Demonstrated experience in programming languages such as Stata, R or Python. Previous knowledge of Dynare, GIS and/or Matlab applications and
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in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling, visualization). Record of peer
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statistical and epidemiological methods Working experience with data analysis software, such as Stata, SPSS, R, or Mplus Experience in spatial and temporal data analysis using GIS, including RStudio/Python
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(preferably in R, Python, GIS) • Competences in quantitative research methods - ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets
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designers, GIS specialists, and stakeholders to ensure tools meet user needs. Documentation & Support: Produce technical documentation and provide support for internal and external users. Minimum Requirements
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sustainability or Basic software engineering knowledge and interest in GIS Programming skills like Java, Python, Docker and knowledge of cloud resources (e.g., GCP, AWS) Analytical thinking and enthusiasm
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strengthen the national security community. Experience working for or collaborating with DOE National Laboratories (or similar R&D organizations). Experience with geographical information systems (GIS
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analytics, visualization. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office (including Outlook, Word, Excel, PowerPoint). Ability to work
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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas
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, project and program evaluation, and report writing. Data science and Geospatial Analysis skills, including coding (e.g., Python, R), inferential statistics (e.g., MATLAB, STATA), predictive modeling, GIS