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and Stata. Working with large datasets, including merging files into the data archive. Creating clear data visualizations to communicate results (including GIS maps). Assisting with the preparation
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information at BNL | Benefits Program Position Description The AI Department within Brookhaven National Laboratory's Computing and Data Sciences Directorate invites exceptional candidates to apply
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analysis, power analysis, mixture models, causal inference, psychometrics, sequential and time series analysis, and/or analyzing large datasets are plusses. Strong data management skills are required
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, survey design, and experimental techniques Ability to collect, organize, and manage large datasets efficiently while maintaining data integrity and confidentiality Excellent written and verbal
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a strong commitment to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups. Position Information Proposed Faculty Rank
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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uses observational field data, experimental data, and field experiments. Salary is $68,000 annually, plus benefits. Expected start date is mid-June 2026. Visa sponsorship is available. For examples
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have a strong quantitative background in aging, disability and health systems research including experience analyzing complex datasets such as Medicare/Medicaid claims data. The ideal candidate will have
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, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically
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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems