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continuing dental education. As one of the fastest-growing academic health centers in the nation, the Texas A&M University Health Science Center encompasses five colleges and numerous centers and institutes
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
. We consist of 54 tenure-track faculty, 16 teaching faculty, 10 research faculty, and numerous active adjunct and emeritus faculty who are engaged in basic and interdisciplinary research and teaching
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of statistical concepts and methods. Proficiency in at least one programing language (e.g., R, SAS, STATA). Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data
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opportunity to develop and analyze idealized simulations. Qualified candidates must have numerical modeling experience and a demonstrated record of first-author publication in physical oceanography
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Associate in PFAS Predictive Modeling with the University of Maine Cooperative Extension will establish and sustain a dynamic research and educational outreach program to address data and modeling needs
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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 education, innovative research
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multidisciplinary and highly collaborative research team and will lead research projects tailored to the candidate’s interest. The candidate will also have numerous opportunities for career and professional growth
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CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia lipolytica. This position offers a unique opportunity to conduct cutting-edge research
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candidate will work in a multidisciplinary team and have opportunities to mentor graduate students and undergraduate students. Opportunities to Contribute: Numerical model development: Develop coupled models
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and