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. Research Themes and Projects: We are an interdisciplinary research team integrating single-cell and spatial genomics, lineage tracing, synaptic proteomics, functional perturbation screening, and machine
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, neural circuit function (2P imaging), and biomaterials Required Application Materials: CV [including education, research experiences, publications, and previous employment] Contact information for 3
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behaviors using data from digital health platforms. Support the integration of biomarker and psychosocial data to explore chronic pain risk stratification and treatment responsiveness. Lead manuscript
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correlative data. • Integrate and interpret diverse data types to gain insights into TIL therapy outcomes and mechanisms • Collaborate with wet-lab researchers and clinicians to translate findings
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learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with GIS software and Python, strong written
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highly motivated and collaborative Postdoctoral Fellow with an interest in optics, device physics, and/or environmental sensor integration for ocean observation. We are an interdisciplinary group
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optimization, to reduce costs and emissions while maintaining safe and resilient water supply. Contribute to advancing water and energy technologies by integrating digital workflows into ongoing research and
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) signaling. The Huttenhain lab integrates cutting-edge MS-based proteomics, functional genomics, imaging, and other molecular biology techniques to profile the spatiotemporal nature of GPCR signaling networks
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Application Materials: Please send your application package as a zipped file to kseetah@stanford.edu (link sends e-mail) , with the subject line: Application for 'Integrating Natural and Cultural Data' postdoc
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healthcare domains is highly desirable Experience building well-annotated, longitudinal databases integrating clinical data, images, and biospecimens Healthcare database experience (Epic Cosmos, claims