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. The current project uses structural neuroimaging to guide DBS lead placement and optimal DBS settings, as well as kinematic analysis of behavioral motor tasks. Additional projects include the development of a
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Postdoctoral Affairs. The FY27 minimum is $79, 056. We are seeking a well-trained postdoctoral scientist who is motivated to develop and apply expertise in neuroimaging-informed biotype trials for precision
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will have a strong background in engineering—biomedical, electrical, or mechanical—with expertise in optics, imaging systems, or device development. Our research focuses on advancing molecular and
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understand the pathogenesis of inflammatory bowel disease (IBD) and developing gene editing therapies for IBD. The role will include working with IBD patient-derived organoids, advancing human in vitro assays
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Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Natural Capital Project seeks candidates to support a research program aimed at the implementation and scaling of natural capital approaches within
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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
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with an initial focus on San José, CA. Both projects are in their early stages and will provide ample opportunities to lead and build out. Your responsibilities include: Develop and manage research
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scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. The Tang Lab at Stanford University is seeking a postdoctoral scholar to lead the development of a new
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them to develop prediction models for patient safety events. In addition to priority projects, the Postdoc will have the opportunity to work with other researchers both at Stanford and within our larger
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affordance‑driven decisions. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co