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multimodal MRI data from children with NF1 using the Siemens Cima X scanner at Stanford’s Lucas Center for Imaging. The position sits at the intersection of advanced neuroimaging methods, longitudinal clinical
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external) is reimagining the experimental neuroscience pipeline with big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that
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, 056. The Buckwalter lab has an opening for a postdoctoral fellow, PhD, MD, or MD/PhD. We study chronic outcomes after stroke using mouse models and human studies, with a particular focus on post-stroke
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translational oncology, and a vibrant research community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data processing, statistical
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support for postdoctoral training. The Sheltzer Lab is a highly-collaborative environment that values rigorous research and that welcomes scientists from all backgrounds. More information on research in in
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values rigorous research and that welcomes scientists from all backgrounds. More information on research in in the lab can be found on our website (www.sheltzerlab.org (link is external) ) and in
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qualifications for the role. Provide contact information for 3 professional references. Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University
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2026 Group or Departmental Website: https://kingcenter.stanford.edu/opportunities/prospective-postdoctoral-fellows (link is external) How to Submit Application Materials: For more information and to
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collaborators Analyzing data and disseminating findings to scientific audiences and government stakeholders globally Managing students/interns on lab projects as desired and necessary Building lab capacity with
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recent PhD graduate with a demonstrated record of producing high-quality, policy-relevant research on critical issues in corporate law and governance. We invite applications for a postdoctoral fellowship