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study of ECE and policy impacts. Strong data analytical skills using advanced statistical methods (such as mixed effect models, multilevel modeling, structural equation models, longitudinal modeling, etc
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chromatin structured contexts. Ideal for those with experience in cell culture, molecular biology, and seeking to acquire or strengthen expertise in gene editing methodologies, bioinformatics, and DNA DSB
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outcomes of a priority project, while also contributing to secondary efforts. Responsibilities include gaining deep familiarity with study assessments, protocols, data structures, and—where applicable
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will develop data-driven approaches for 3D geological structure modeling using comprehensive geological, geophysical, and geochemical data for country-scale smart mapping. One goal is to transform
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community at Stanford looking at the health impacts of environmental changes. The successful candidate will have strong data skills, including experience handling complex data structures, working with spatial
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. This includes integrating LLMs with structured data sources to develop robust computational phenotyping algorithms and scalable models for real-world evidence generation. The role will involve both method
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to investigate the pathogenesis and treatment of optic neuropathies, which includes studies using multimodal assessments including measurements of visual function and structure. We will use noninvasive