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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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and R coding. Stipend $60,000.00 – $75,000.00 Yearly Point of Contact Justina Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Master's Degree received within the last 60 month(s
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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
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in agricultural soil microbiology. The participant will also have active exposure to statistical data analytics using R, Python, and current bioinformatic software. The participant will gain or enhance
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have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python and R coding. Stipend $60,000.00
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office or agency. Qualifications To be eligible, applicants must be a full-time regular permanent faculty member at an accredited college/university with a research interest in NETL core R&D areas
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writing and econometric skills, as well as increase proficiency using statistical software (such as STATA or R). The mentor will encourage dissemination of results among managers and research groups. Mentor
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and the application of machine learning to advance development efforts of these domestic sources by pinpointing opportunities, informing R&D, catalyzing innovation and maximizing resource value
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Skills: Strong analytical skills and demonstrated experience with statistical programing in R. Experience using geospatial data for landscape-scale research. Experience with Species Distribution Modelling