78 advance-soil-structure-modeling Postdoctoral positions at The Ohio State University
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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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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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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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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
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and mechanisms of selective autophagy and lipid metabolisms in neural stem cells, microglia, and astrocytes. The lab developed novel genetically engineered mouse models to study roles of autophagy genes
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records Write reports for submission to research sponsors Present findings to colleagues and at conferences Submit publications to high-impact refereed journal Perform in vivo experiments on mouse models
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Entrepreneurial Engineering Network (KEEN). This role will contribute to advancing scholarships in engineering education, support research dissemination, and mentoring student researchers. Additional Information
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research team focused on advancing cancer science, with a particular emphasis on the kidney cancer microenvironment. This non-tenure track position offers the opportunity to contribute to cutting-edge
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Position Overview: We are seeking a highly-motivated postdoctoral scholar to contribute to the development and clinical translation of advanced MRI methods for womens imaging. The ideal candidate will have a