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limited to (1) electronic health records, (2) causal inference, (3) natural language processing and large language models, (4) generative AI, (5) dynamic risk prediction modeling for high-dimensional
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later than September 1st, 2025 Has research expertise on mechanism design or optimization approaches to resource allocation. Sub-areas of interest include: Dynamic mechanism design Robust optimization and
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Leadership Innovation Lab is seeking a diverse pool of applicants who have expertise on gender and race in organizations, wish to join a dynamic, collaborative research community, and are interested in
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and AI-driven computational approaches to reconstruct and redefine tissue architecture in 3D space. The goals of these projects are to uncover the rules governing the spatiotemporal dynamics of tumor
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functional genomics, protein biochemistry and single particle cryo-EM to understand how UFMylation controls ribosome dynamics and ER homeostasis. We are specifically seeking highly creative, passionate
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in a dynamic, curious, team-oriented, and industrially connected environment. Our projects span multiple schools and centers at Stanford University as well as external collaborations with other
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. The successful candidates will join a dynamic research group focusing on the development of positron emission tomography (PET) imaging in the context of peptide-based radiotheragnostics and nanotherapeutics
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microdevices using polymer microelectromechanical systems (MEMS) technology. The lab is a collaborative and dynamic working environment that leverages the advantages of micro- and nanotechnologies to advance
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dynamics, delivery, efficiency, specificity and cellular responses.Experience with advanced techniques such as next-generation sequencing. Interpret experimental data, including molecular and cellular assays
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principles governing hematopoiesis and immune system development. Our goal is to find better therapies for patients. We are a young and dynamic group driven by excitement for scientific discovery. Our lab is