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) surveillance. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Improve standardization, utility, and public health potential of data systems
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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-PEQS-300170-F1 Description CCDC-ARL-ARD is seeking an electrical and/or optical engineer who has obtained their Masters of Science
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applications including R, python and GitHub Strong background in and knowledge of remote sensing with a variety of data sources Experience with USDA Forest Service Forest Inventory and Analysis (FIA) data
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for landscape-scale research. Analytical skills and demonstrated experience with statistical programing with programs such as R. Experience using geographic information system platforms, methods and tools
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received within five years of the appointment start date. Highly competitive applicants will have education and/or experience in one or more of the following: Familiarity with Python or R and their related
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audiences. We’re looking for someone who: Can apply data science to real-world problems. Is comfortable with Python, R, SQL, or similar tools for analysis and modeling. Can translate messy datasets
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with statistical programing with programs such as R. Experience using geographic information system platforms, methods and tools for mapping and analyses. Experience with Species Distribution Modelling
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an accredited college/university with a research interest in NETL core R&D areas. Additional requirements: Must provide a detailed statement of educational objectives and projected benefits to be realized as a
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in Python or R. Python preferred. Knowledge of sensor placement and instrumentation, especially for water systems (e.g., pressure, flow, or water quality sensors). Knowledge of open-source water system
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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-USMA-400051 How to Apply Applications must be submitted in Zintellect . A complete application includes: Curriculum Vitae or Resume