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, you will join a community of scientists and researchers in an effort to explore security implications in trusted and secure systems at the application, hardware, firmware, and software levels
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and prepare for readiness during operational tasks. The team is further exploring novel AI method developments, including applied mathematical and machine learning solutions for real-time use. Why
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sciences, Geology, or closely related field). Degree must have been received within the past four years. Preferred skills: Experience with Microsoft Office products. Experience using geospatial software
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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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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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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