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these methods to address challenges in scientific discovery and precision medicine. We seek highly motivated applicants with a background in one or more of the following areas: agentic AI, geometric deep learning
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Postdoctoral Fellow in Atmospheric Science. The successful candidate will conduct laboratory experiments investigating heterogeneous halogen and nitrogen chemistry on organic and biomass-burning aerosols under
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these methods to address challenges in scientific discovery and precision medicine. We seek highly motivated applicants with a background in one or more of the following areas: agentic AI, geometric deep learning
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these or related fields, particularly those who may bring a new technology, method, or perspective to bear on the work of the Center. We are especially interested in candidates with strong quantitative, data
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pedagogy projects over the course of the year. The fellowship is renewable for a second year at the discretion of the Center. We plan to welcome three new and up to three returning fellows each year
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are interested in these or related fields, particularly those who may bring a new technology, method, or perspective to bear on the work of the Center. We are especially interested in candidates with strong
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architecture of complex traits. We develop computational and statistical methods for sequencing studies. We also have projects in cancer genomics and applied human genetics. The lab encompasses a wide range of
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School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical
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findings and writing papers from day 1. The successful candidate will work with Chirag Patel’s group to produce highly impactful biomedical informatics research that presents new innovations in methods and
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transition from immune surveillance to immune suppression during progression from early lesions to cancer (Kader et al., Cancer Discovery 2025). A second study developed ORION-FISH, a method that integrates