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Position Summary A Mathematical Epidemiology/Infectious Disease Modeling position is available in the Mitreva Lab with the Division of Infectious Diseases, Department of Medicine and McDonnell
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/paleoclimate modeling and data-model intercomparison. The successful applicant will contribute to a new, NSF-funded project investigating Holocene precipitation changes in the tropical Americas, with a
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diagrammatic perturbation theory and/or building effective continuum models for moiré systems is highly desirable. Preferred Qualifications Education: No additional education unless stated elsewhere in the job
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implement algorithms, models, and software applications that can be translated to clinical use. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be
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Science 371:1154). The position will involve utilizing human specimens, cell culture models (epithelial and immune cells) and testing hypothesis in mouse models of the disease. Appropriate training in all
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dementias. We use a combination of iPSC-based systems and transgenic mouse models coupled with novel approaches including single-cell sequencing, CRISPR–Cas9 screening, and interactome profiling. The work
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/paleoclimate modeling and data-model intercomparison. The successful applicant will contribute to a new, NSF-funded project investigating Holocene precipitation changes in the tropical Americas, with a
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(Podostemaceae) in Neotropical rivers migrated and evolved as the Isthmus of Panama formed and develop the first model for the tempo and pattern of formation of riverine connections across the Isthmus
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. Working experience with mouse models of cancer. Experience with software such as ImageJ, Microsoft Office, and GraphPad Prism. Preferred Qualifications Education: No additional education unless stated
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maternal metabolism in pregnancy. The position involves analysis of large-scale genomic data, including genome-wide association studies (GWAS), computation of genetic risk scores, and integrative modeling