87 advance-soil-structure-modeling Postdoctoral positions at The Ohio State University
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blots, confocal microscopy, cell culture, traditional and quantitative real-time PCR, immunoprecipitation, microdissection and/or biomechanical testing and modeling. Experience working with animal models
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, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI/ML methods. Prior experience with analyzing
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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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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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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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| 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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that supports and advances Ohio State’s multidisciplinary quantum information science enterprise. With over 45 affiliated faculty across six departments and strong partnerships with industry and national labs
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to conduct advanced research in selective materials for critical mineral recovery. The successful candidate will work under the supervision of Professor John Lenhart and contribute to ongoing research projects
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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