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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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, programming, and analysis tools (e.g., Tableau, MS Excel, SAS, and R/R Studio). Experience with developing basic data collection tools, data dictionaries and minimum data elements preferred. Excellent
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institution for technical professional continuing education. A component of Air University and Air Education and Training Command, AFIT is committed to providing defense-focused graduate and professional
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environmental and social impacts; 2) enhance the integrity and efficiency of the FPL’s research efforts through the development, evaluation, and application of modern statistical methods; and 3) provide life
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of the microstructure materials response, damage progression, and component lifetime and reliability. This project shall focus on the thermal fatigue and environmentally assisted failure of L-PBF Ni-based superalloys in
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education. A component of Air University and Air Education and Training Command, AFIT is committed to providing defense-focused graduate and professional continuing education and research to sustain
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production using state-of-the-art data science methods, leading to improved research in forestry and economics. Additionally, the fellow will be invited to participate in the broader research goals using
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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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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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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