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multiple research metadata providers that will necessitate analysis using a variety of database and statistical software tools (e.g., SQL, SAS, R). In coordination with the data and analytics team
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multiple research metadata providers that include information using a variety of database and statistical software tools (e.g., SQL, R). The candidate will assist in the design, development, testing and
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’ questions and test hypotheses. It requires expertise in database design, complex statistical methods, and algorithms. Expected projects include designing research and operational databases, conducting machine
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Classification Title: Data Scientist IV Job Description: The Real Estate Researcher is responsible for conducting econometric and statistical analysis, supporting the analytical needs of fellow
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under the general supervision and guidance of the FDOT staff. Candidates with strong background in concrete and asphalt pavement and materials, instrumentation, statistical methods, and database
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Postdoctoral Scholar will work with Dr. Wei Li on developing methods and tools for statistical power analyses and optimal sample size computations for longitudinal studies, conducting Monte Carlo simulations
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education with data analysis, modeling, program evaluation and/or assessment. Graduate level training in research methodology and statistics. Experience working with large, complex data sets. Demonstrated
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statistical and study team to ensure the safety and rigor of the research data. Develop academic and intervention materials including conference abstracts, peer-reviewed manuscripts, PowerPoint slides
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Classification Title: Data Scientist IV Job Description: The Real Estate Researcher is responsible for conducting econometric and statistical analysis, supporting the analytical needs of fellow
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Primo, ALMA, OCLC, and Peoplesoft. Ability to maintain accurate statistical counts and experience with cost and data analysis. Flexibility and ability to adapt and work in a rapidly changing academic