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systems modeling, ecological and social network analysis, and interdisciplinary computational research. Their work will integrate quantitative and qualitative methodologies to address fundamental questions
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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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| 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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molecular biology, bacterial pathogenesis, molecular microbiology of bacterial pathogens and working with animal models is preferred. Experience in supervision of students and visiting scholars is desirable
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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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for a Post Doctoral Scholar position. This position conducts experimental and analytical research focused on behavioral and eye-tracking experiments, data modeling, and the development of new experimental
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. It will also involve developing animal models to understand virology and virotherapy. Additional Information: Doctoral degree in virology, microbiology, oncology, cancer biology, epidemiology
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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 in brain developmental