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conditions they are likely to be useful. For this reason, we have assembled a research team to explore new methods and new data that will improve foundational fuel structure and flammability information
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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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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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existing skill set. This project will present an exciting opportunity to deepen your knowledge of polymer science & expand your knowledge in applying computational methods to real-world materials challenges
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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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) Data collection and analysis using basic and specialized software like MS Office, Prism, Analyst, and MassHunter Sample preparation from blood, plasma, urine, polymers and other matrices Presentation