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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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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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, 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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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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● 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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, 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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to climate, environment, or sustainability challenges. • Required skills: o Strong quantitative background, with expertise in one or more of the following: statistical modeling, machine learning, remote
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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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related field • Strong quantitative background (e.g. ecological theory and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell