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experiments in protein engineering, molecular biology, biochemistry, and next-generation sequencing (NGS). The ideal candidate will have experience with computational tools for protein modeling and design—such
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identifying and conducting interviews with pesticide applicators, coding responses to interviews and integrating interview responses using a mental models approach. It is expected that the successful candidate
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2025/2026 academic year. The digital and social media platforms where we conduct much of our everyday expression today are shaped by algorithms and Large Language Model AIs, technologies of automation
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are shaped by algorithms and Large Language Model AIs, technologies of automation and creation that mimic the superorganic “tradition” to which past folklorists had misguidedly assigned sole agency. How should
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| Materials Science and Engineering Position Description: Perform research in light metals and manufacturing including both experimental and modeling work; produces publications and prepares presentations
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transgenerational plasticity shapes individual responses to both natural and human-induced environmental change, using fish as model organisms. The successful candidate will have flexibility in determining
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mutation detection; participates in analyzing data for reports for the purpose of grants submissions; designs and conducts pre-clinical studies using a variety of disease models in mice; trains staff
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Services Research, Statistics/Biostatistics, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI
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of population and community modeling or coding. The Post Doctoral Scholar should have demonstrated ability to analyze population or community datasets using statistical software, such as R, data management skills
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surgical models How to Apply: Interested candidates should submit the following documents to Dr. Yanbo Fan (yanbo.fan@osumc.edu): Curriculum Vitae (CV)/Biosketch Cover Letter expressing research interests