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modeling methods to design novel catalytic materials for energy and sustainability. Responsibilities: The postdoctoral researcher will work on the computational design of materials for electrocatalysis
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American Hospital Association survey data, Area Health Resource Files, and Medicare Hospital Compare data Analyze panel data using econometric methods. Conduct a literature review for future projects. Assist
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American Hospital Association survey data, Area Health Resource Files, and Medicare Hospital Compare data Analyze panel data using econometric methods. Conduct literature review for future projects. Assist
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-level understanding of kinetics in solid-solid phase transitions; Develop advanced machine learning methods for the fast prediction of materials properties; Publish results in peer-reviewed journals and
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with mobile health (mHealth) technologies 3. Knowledge of advanced statistical methods (e.g., structural equation modeling, multilevel modeling) 4. Research or clinical experience with individuals with
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written and verbal communication skills Proficiency in data analysis software and statistical methods Preferred Qualifications: Strong expertise in cellular and molecular biology techniques is essential
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students in the lab, guiding them in research methods, experimental design, and technical skills. Contribute to the overall success of the lab by collaborating on ongoing projects and assisting with grant
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/) at the University of Central Florida (UCF) is seeking applicants for Postdoctoral Research Associates to carry out research in Li/Na ions batteries, acidic/alkaline membrane electrolyzers, and fuel cells. Research