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: Survey Design & Planning Develop and adapt field survey instruments aligned with project goals and local context (e.g., household-based lead exposure surveys and/or market-based surveys). Lead sampling
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to climate-focused educational initiatives across the university. About the SCALES Postdoctoral Fellows Program The SCALES Postdoctoral Fellows Program is a newly launched cohort-based initiative designed
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and/or neuroimaging-genetics analysis. Familiar with emerging AI techniques, neuroimaging methods, and statistical genetics research. Preferred Qualifications Education: No additional education unless
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conducting secondary data analysis in scientific research. Knowledge of databases. Experience in working with various software for conducting survey research and statistical data analysis. Additional education
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the social sciences, statistics, computer science, or related fields, and their interests must fall at the technical forefront of quantitative social science. Candidates should offer state-of-the-art
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
writing manuscripts, programming new statistical analysis methods and pipelines in R. Minimum Education and Experience Requirements Ph.D. in computational biology Required Qualifications, Competencies, and
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, Bioinformatics, Computer Science, Mathematics, Statistics, or a related field, plus demonstrated research experience and peer-reviewed publications. KEY RESPONSIBILITIES & ACCOUNTABILITIES Conduct original
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on service — helping to build healthier, more educated communities in South Carolina and beyond. Benefits for Research Grant or Time-Limited Positions Are Indicated Below The University of South Carolina
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for candidates with a strong computer science background, such as algorithms, machine learning and data science. Key Responsibilities Develop, implement, and evaluate machine learning and deep learning models