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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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candidates welcome). Relevant experience: Up to 6 months of related or relevant experience. Coding skills: Knowledge of Python and use of (or the ability to quickly learn) RESTful APIs is required, and
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to undertake the CFA Program upon joining (see https://www.cfainstitute.org/ for background on the CFA® credential). Ability to prioritize and manage multiple projects and meet deadlines in a thorough and
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of the REST and XML protocols Professional experience in any modern object-oriented programming language (for example: C#, Java, PHP or Python.) Familiarity with Agile development methodologies **Sponsorship
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climatological datasets. Experience in Microsoft Office Suite (Excel, Word, and PowerPoint). Proficiency in Python or other data analysis software. Ability to navigate HPC environments. Familiarity with federal
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climatological datasets. Experience in Microsoft Office Suite (Excel, Word, and PowerPoint). Proficiency in Python or other data analysis software. Ability to navigate HPC environments. Familiarity with federal
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. Presenting findings to colleagues and leadership. Writing research proposals and peer-reviewed papers. Writing/modifying scripts (e.g. Python, R) to tailor/customize analysis. Performing forensic analysis
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under uncertainty, programming in Python, Julia, and/or MATLAB, and excellent quantitative skills, including probability and data analysis. Anticipated Division of Time Research (80%) Publication