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interacting with a team of researchers from several universities. Knowledge of advanced statistics and experience working with MPlus, SPSS, R, and other statistical packages is required. Experience using large
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Carolina 27708, United States of America [map ] Subject Areas: Sociology Political Science Statistics / Statistical Science Appl Deadline: 2026/04/01 04:59 AM UnitedKingdomTime (posted 2026/01/07 05:00 AM
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statistical software (R, SAS, etc). Demonstrated ability to conduct research and publish in peer-reviewed journals. Excellent written and communication skills. Duties and Responsibilities Perform advanced
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● Demonstrated proficiency with statistical programs such as R, SAS, and/or STATA ● Ability to work independently and as part of a research team ● Commitment to academic diversity, equity, and inclusion Submit a
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imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab currently conducts research in the areas
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direction and supervision. •Statistical analysis and database management. •Learn and execute on Systems dynamics modeling and/or microsimulation Mixed-methods community engagement methodological development
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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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, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Computer Science Machine Learning Appl Deadline: none (posted 2025/08
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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in the United States. Preferred methodological skills include statistical analysis of survey and other large-n data, qualitative interviews, and/or text analysis and machine learning skills