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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of synthetic genomics and synthetic biology, as
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, Outpatient, Carrier, TAF). Develop reproducible code and workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams
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typologically diverse languages Creating self-supervised learning algorithms that can assess phonological development and speech complexity in children from birth through age 6, with applications to both typical
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learning to investigate how the human brain develops diverse cell types and forms complex neural circuits. We are particularly interested in how these developmental programs are disrupted in
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genomics and single-cell spatial transcriptomics, participate in T cell-targeted therapy development, hone their computational, leadership, communication, and funding acquisition skills, and join the vibrant
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. The postdoc will define promising research directions for extending AST to uncover vulnerabilities in complex systems, bridging gaps between traditional testing techniques and emerging security threats
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enhance optimization algorithms, help practitioners select the most effective algorithms, and guide the discovery of entirely new algorithms. Many of today’s most pressing challenges involve complex
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. Xiaojie Qiu (Genetics & Computer Science) (link is external) and Dr. Matteo Molè (Obstetrics & Gynecology) (link is external) . Our goal is to explore the “black box” of early human pregnancy by mapping
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for Spatial Biology Description: The Lu Lab at Stanford University is seeking a postdoctoral fellow with deep expertise in advanced AI and generative modeling to develop computational frameworks that transform