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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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on cutting-edge laboratory and analytical projects to research, develop, and evaluate heat and mass transfer components and systems. This includes next-generation standalone and district geothermal heating
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involving biochemistry, chemistry, and analytical mass spectrometry. Bioinformatics is key to interpreting proteomics datasets, and the individual must be able to analyze and explain proteomics data
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behavioral, modeling, and neuroimaging techniques. Join our team and be involved with writing up data from all of these great and innovative multimodal studies. The Post-Doc will provide technical, analytic
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in projects related to simulation/mathematical/decision analytical modeling and cost-effectiveness analysis for harm reduction and other interventions aimed at preventing drug overdoses (primary focus
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
prevention interventions. * Willingness and ability to learn new, big data analytic techniques. * Develop figures and reports, which provide transparency into the data quality and characteristics, and
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to care, and 2) the award-winning Business Analytics Department at Tippie College of Business, which specializes in machine learning, data science, and mathematical optimization, among other topics
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, big data analytics, and health campaign formative and evaluation research are preferred. Candidates from diverse backgrounds, including those from groups that are underrepresented in health-related
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
health care data (EHRs, health insurance claims, or cancer registry data). * Superior conceptual, organizational, and analytical skills. * Track record of research productivity, including published
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-reviewed publications in reputable academic journals, or manuscripts in preparation. 2. Strong Analytical Skills: Experience and training in longitudinal data analyses with latent variables. Proficiency in