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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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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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(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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. 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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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
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. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: Use software, coding and analysis as you learn about curating data for machine learning
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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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prevention activities across the individual, interpersonal, and organizational levels of the social ecology Understanding and/or experience in qualitative, quantitative and mixed method analyses for public