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Data Fellowship. This opportunity is ideal for individuals interested in contributing to U.S. international energy policy through rigorous data analysis and market research. The selected fellow will
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data as well as experience with data analysis software like Excel, Python, and Matlab. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment History
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to the development of discretization techniques, the implementation of efficient solvers, and the refinement of stability criteria for complex flow conditions. Research will involve both theoretical analysis and
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. Collecting and analyzing load data required for the analysis. Supporting validation of the software tool through laboratory experimentation. Documenting results in a presentation and written report. Where will
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research by participating in ongoing collaborative research projects Data collection appropriate to existing research protocol(s) Analysis and interpretation of collected data Perform descriptive and
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Health Readiness System (DOEHRS) experience with analytical instruments and water analysis ability to follow directions strong written and verbal communication skills required. Application Requirements A
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to assist with modeling efforts Develop methods to assess model accuracy, scalability, and utility for use in wildland fire decision making. Model sensitivity analysis and testing on independent data
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investigation and developing software algorithms and techniques to support human or machine information interactions for the purpose of information retrieval/dissemination, analysis and/or decision making
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quantitative analysis, with experience in biosignal data collection and/or analysis recommended. Researchers having familiarity with multi-aspect data approaches are encouraged to apply, with programming skill
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research and analysis in the Army. US citizenship is required for this research opportunity. The successful candidate will assist with the development of novel nano-mechanical test methods for and