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analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration
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opportunities to collaborate across Indiana University’s aging research network. Projects are clinically motivated and span mixed methods intervention development, usability testing, implementation research, and
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knowledge. Our work emphasizes real-world learning materials, learning situations, and learning influences, and we explore innovative ways to bring rigorous experimental research methods and analyses
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methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be based in the Department
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, or causal inference methods are a plus. Department Contact for Questions Questions regarding the position or application process can be directed to: Dr. Christopher Callahan ccallah@iu.edu O’Neill School
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long-term care. Experience with quantitative and/or qualitative methods; programming skills and familiarity with dyadic analysis preferred. Demonstrated capacity for academic writing and research
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organic methods for functional small molecules and polymers. The goal of projects in the Huang lab is to tackle critical societal challenges through precise structural control, efficient manufacturing, and
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organic methods for functional small molecules and polymers. The goal of projects in the Huang lab is to tackle critical societal challenges through precise structural control, efficient manufacturing, and
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procedures and methods. 14. Utilizing fundamental concepts, practices, and procedures to perform routine scientific research tasks. 15. Maintaining knowledge with respect to relevant state-of-the-art
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other University Faculty and labs for common goals. Expected to keep current on relevant literature to identify suitable direction, new techniques, procedures and methods. Expected to submit research