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, epidemiology, health informatics, population health sciences, or a closely related area is required. Experience: Experience in cleaning and analyzing large-scale real-world data, such as Medicare claims and
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biology and advanced quantitative data analysis. The role will involve the design and management of research databases, analysis of large and complex clinical and molecular datasets, coordination with
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 9 days ago
against new data, target organs tags will be generated for all SEND datasets, enabling large-scale analysis of the relationships among toxicology study endpoints, organ system toxicities, drug
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cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application
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$77,047, depending on qualifications, experience, department budgets, and industry data. Employees receive more than just a paycheck. University employees enjoy a comprehensive benefits package that
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. Responsibilities* Project Specific Responsibilities: Conduct human-participant experiments, including behavioral paradigms, neuromodulation procedures, and physiological data acquisition Analyze large-scale and
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. Effective analytic skills with at least two years of demonstrated professional experience writing code to perform statistical analysis of large data sets using software such as Stata, SAS, or R. Demonstrated
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, and statisticians—on projects that bridge methods, policy, and practice. This role will involve intensive analysis of claims data and related large administrative datasets to support policy-relevant
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long-term growth and external funding strategy. The JSB AI Center brings together faculty, students, and collaborators from business, information systems, engineering, computer science, communication
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to groundbreaking studies in Australia and Lao PDR, developing your expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security