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will have the opportunity to expand your knowledge by collaborating on the following activities: Applying existing software tools to model, analyze, and design microgrids for designated applications
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for the U.S. energy future. Resource estimation methods to determine tonnage and grade of these unconventional feedstocks is still evolving, and requires refined approaches that leverage probabilistic modeling
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program and complete the degree prior to the appointment start date. The ideal candidate would have some, but not necessarily all, of the following: PhD. in Materials Science, Chemical Engineering
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surveys and other anecdotal collection methods Combine empirical evidence gathered from web/social media analytics Study data associated with content Collaborate with other team members to create multimedia
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one another; and delivering world-class science, technology and land management. Research Project: The fellow will contribute their PhD-level social science research skills to understand how project
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of federal land managers, have a few different way of modeling complex restoration treatments in the software. However there is not much guidance on which is most accurate, or how examples of calibrating
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. Qualifications The qualified candidate should hold or be currently pursuing a master's degree or PhD in Mechanical Engineering, Biomedical Engineering, or a related discipline. Postgraduates must have earned
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(MPH, MS, PhD). Highly competitive applicants will have experience or skills in the following: U.S. Citizenship is required, must be able to pass a background investigation. SAS 9.4 experience is desired
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-term EEG recording Preparing routine drug solutions Analyzing in-depth EEG data Interpreting immunohistochemically prepared slides for neuroinflammatory markers Describing and documenting methods and
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in a laboratory General computer skills to include making presentations and analyzing data in spreadsheets or statistical/graphing software Application Requirements A complete application consists of