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a demonstrated ability to use a statistical programming language such as R or Python. Domain knowledge demonstrated by a degree in economics, data science, statistics, forestry, natural resources
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-7776 Steven R. Ehlert steven.r.ehlert@nasa.gov 256-961-7765 Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents
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Preferred: Familiarity with international energy data sources (e.g., IEA, EIA, OPEC). Familiarity with programming or data tools (e.g., Python, R, SQL, Tableau). Understanding of global energy markets, trends
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lab members of various backgrounds (B.S. to postdoc) and help in experimental design and in guiding selection of analytical methods. Knowledge of R with experience in ArcGIS or other GIS platforms being
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Zintellect account and check the status of your application. If you have questions, send an email to AIRFORCE@orise.orau.gov. Please list the reference code of this opportunity [AFCEC-2025-0001-R] in
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vegetation or biomass assessment, is highly desirable. Proficiency in programming languages like Python or R, along with experience using GIS tools, will be essential for success in this role. A proven track
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. Background in the following is highly desirable: Earth, Physical, and/or Computing Sciences, advanced statistics, programming in a compiled language like C or FORTRAN95, and scripting with python or R. Field
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Angeles, J. Geophys. Res. 101, B04401, doi:10.1029/2003JB002934. Argus, D. F., and R. G. Gordon, (2001) Present tectonic motion across the Coast ranges and San Andreas fault system in central California
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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-WS-300169-F1 How to Apply Applications must be submitted in Zintellect . A complete application includes: Curriculum Vitae or Resume
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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-PEQS-300167 How to Apply How to Apply Applications must be submitted in Zintellect . A complete application includes: Curriculum