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the design and development of multiple projects using state-of-the-art AI models, algorithms, statistical models, and other programs designed to improve the public sector. Work with large untapped data
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competency assessments, interfacing with University HR on job classifications and compensation approvals, reference checking, etc. Support the documentation for academic and non-academic staff appointments
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working with large healthcare datasets (EHRs, claims, registries). Proficiency in R or Python. Strong quantitative skills and familiarity with advanced modeling techniques. Excellent written and verbal
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data collection, analysis and reporting Conceptualization and implementation of statistical models Collecting, managing, and structuring quantitative datasets Report writing and manuscript preparation
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multiple data tables, creating and maintaining new databases as needed. Implement data analyses using predictive modeling approaches (machine-learning, deep-learning), or inferential statistical methods as
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research in pain management. Contribute to the growth of behavioral health services in pain care and shape innovative, evidence-based models for integrated treatment. This position addresses the growing need
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ABOUT US The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators
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US: The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators
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Postdoctoral Affairs. The FY25 minimum is $76,383. Integrating Natural and Cultural Data: Focus Area, Indian Ocean Data gathering, assessment, and modeling across disciplinary divides offers an optimal approach
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(public and private). Proficiency in business applications, such as Microsoft Office suite, especially Excel. Experience in financial modeling and business intelligence applications to produce analysis and