63 modelling-complexity-geocomputation Postdoctoral positions at The Ohio State University
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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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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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within the Department of Internal Medicine; plans, designs and executes experiments of considerable scope and complexity in the assigned research lab focusing on aspects related to autoimmunity; collects
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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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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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scientific mentor in the Department of Neurology; plan, design and execute experiments of considerable scope and complexity in the assigned research lab; collect and analyzes data for research sponsored by
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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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Genetics to join our team. Our mission is to advance the understanding of the genetic architecture of complex human diseases and traits, enhance our ability to predict disease, target prevention efforts in