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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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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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scientific papers, and contribute to the overall preparation of research for publication. To assist in the training of PhD and undergraduate students. Working Conditions: This position works in a laboratory
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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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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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intellectual property generated in University laboratories remain the property of the University. Working Conditions: This position works in a laboratory environment with potential exposure to biological and
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, (2) dissecting the pathways and mechanisms that may underlie changes in cell states such as partial epithelial-to-mesenchymal transition, and (3) establishing novel model of human tumors (e.g., PDX
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Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive flood hazard