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affiliated with the Emory Center for Infectious Disease Modeling & Analytics Training Hub (Emory CIDMATH). Emory CIDMATH is part of the CDC’s Center for Forecasting and Outbreak Analytics Insight Network
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on the development of mortality surveillance systems from Tribal health departments. This project develops innovative Bayesian hierarchical spatio-temporal models to integrate multiple surveillance systems, correct
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, metabolism, and immunity. Using animal models (e.g., orthotopic and PDX models, transgenic mice) along with functional genomics (e.g., CRISPR-Cas9 or shRNA lentivirus) and unbiased big data, the Post-Doctoral
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model of HIV pathogenesis in combination with techniques such as high-parameter flow cytometry and ex vivo T cell functional assays, we have investigated and evaluated novel therapeutic interventions
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Earth System Modeling”. Its overall objective is to develop an innovative framework for integrating citizen science data from the GLOBE Program with NASA Earth observations to model and predict mosquito
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specified by the Principal Investigator. Postdoctoral position in computational modeling of anxious avoidance at the Computational Mechanisms of Psychopathology Lab at Emory University (PI: Vanessa Brown, PhD
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. Methodological work may draw on tools from nonparametric and semiparametric inference, machine learning, graphical models, and related areas. The researcher will have flexibility to develop a research agenda that
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an exciting research laboratory with a focus on exploring molecular functionality encoded in genome data. Specifically in this project, we are looking to build deep learning models to explore the alphabet
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retinal pigment epithelium. Our goal is to determine the extent to which changes in energy metabolism (glycolysis, mitochondrial function, etc.) cause retinal degeneration in mouse models of retinitis
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to study molecular basis underpinning the new links among cancer metastasis, metabolism, and immunity. Using animal models (e.g., orthotopic and PDX models, transgenic mice) along with functional genomics