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Field
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assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data engineering pipeline, developing usable and innovative solutions
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and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical processes from multiple emissions sources as represented in current models, and quantitative analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
scientists in other departments across campus, including in science, medicine, and the humanities. Numerous computer science faculty members have adjunct or joint appointments in other departments, lead large
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
or Equivalent Required Qualifications, Competencies, and Experience - Background in microscale meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical
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one of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
for Integrative Chemical Biology and Drug Discovery. Numerous opportunities exist at UNC for presenting research and developing new skills (i.e. workshops, short courses, internships and collaborations). For a more
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease
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fluids, design novel numerical simulation and optimal control schemes, and provide new means for risk management. This project mainly focuses on the analysis and optimal control of the underlying SPDE and
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, potentially increasing of adverse birth outcomes. The post-doctoral fellow, supervised by Drs. Amir Sapkota and Michel Boudreaux will perform statistical analysis linking exposure wildfire related air pollution