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patients and established pipelines for data pre-processing, analysis, and integration (Good et al. Nat Med 2022; In Preparation). We now seek to build generative artificial intelligence (AI) models
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to evaluate and model the health consequences of emissions of NOx, benzene, CO, and additional gaseous pollutants from natural gas stoves and other appliances. The exposure measurements and modeling will build
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Postdoctoral Affairs. The FY25 minimum is $76,383. Integrating Natural and Cultural Data: Focus Area, Indian Ocean Data gathering, assessment, and modeling across disciplinary divides offers an optimal approach
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. The project provides a unique opportunity to use clinically relevant animal models, transgenic mice, in vitro and ex vivo cultures, live cell and tissue imaging, single cell technologies, and bioinformatic
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the use of R and/or Python Basic understanding of statistical modeling, and machine learning Understanding of high-throughput sequencing techniques including whole genome, whole exome, targeted capture, RNA
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models, with a strategic trajectory toward integrating proton-based FLASH capabilities. The successful candidate will play a key role in the delivery, optimization, and evaluation of FLASH RT, working
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the recently published work of Spateo for spatiotemporal modeling of whole mouse embryos with 3D single cell spatial genomics: Qiu et al., Cell (https://doi.org/10.1016/j.cell.2024.10.011 (link is external
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-specific mechanisms underlying vascular diseases, ultimately to inform new treatment and prevention strategies. Other opportunities include use of animal model of disease to dissect the mechanism
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outpatient clinic shadowing. Opportunities to develop and apply for research grants. Lab uses a cohort model with multiple trainees for near peer co-mentorship opportunities. Stanford University offers
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. Develop and apply ab initio computations, molecular dynamics simulations, and machine learning models. Collaborate with other researchers within the group and external partners. Present research findings