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: atmospheric convection, radiative transfer, climate change, atmospheric/fluid dynamics, or machine learning. Proficiency in numerical analysis and high-performance computing. Experience with atmosphere/climate
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on physiologic waveform analysis, biomedical signal processing, and computational modeling of continuous clinical monitoring data. The successful candidate will work on projects involving the analysis
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functional MRI, structural MRI, connectivity, or brain circuit modeling Computational psychiatry, clinical neuroscience, or developmental psychopathology Analysis of large-scale multimodal datasets Explainable
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-generation Brain Foundation Models as part of the Stanford Digital Brain Project. The fellow will work closely with Professor Ehsan Adeli(link is external) and Professor Dan Yamins(link is external) , as
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scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. The Dai Lab (Intelligent Image-Guided Intervention Lab) in the Department of Radiation Oncology at Stanford
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: The initial appointment is for one year, with the potential for renewal for up to three years, pending satisfactory performance and funding availability. Appointment Start Date: Flexible, though preferably by
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Postdoctoral Training Position Summary: The Stanford Trauma Systems Data Science
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profiling. More broadly, this work aims to establish a new experimental framework for spatial multi-omic analysis that complements existing spatial transcriptomics technologies. Responsibilities
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(GitHub) and AI coding assistants (e.g., Claude Code) Strong mathematical foundation relevant to quantitative image analysis (optimization, regression, statistics, signal processing, cluster analysis