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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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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 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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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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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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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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of approximately 1.7 million square feet and high-performance computing facilities at the DOD Supercomputing Research Center. What will I be doing? You will engage in real world R&D projects and gain knowledge in
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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-MS-400050-F1 Description US DEVCOM Army Research Laboratory seeks proposals for innovative concepts for the distribution and
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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-PEQS-400049-F1 Description About the Army Research Laboratory The U.S. Army Combat Capabilities Development Command Army Research