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NMR studies of intact bacterial cells, cell walls, and extracellular matrices, as well as industrially relevant polymers and catalysts; Structural and compositional analysis of functional amyloids
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, neural signals, behavioral, cognitive, genetic, and clinical data to model brain structure, function, and dynamics across individuals and populations. Key Responsibilities The postdoctoral fellow will
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conditions and gas-phase chemistry to CNT morphology, structure, purity, yield, and bulk-material performance. Work with collaborators developing CNT fibers and wires to identify the synthesis characteristics
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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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appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. The bergerlab.stanford.edu (link is external) is appointing! We're looking for a postdoc with a neuroscience/EEG analysis
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Posted on Wed, 02/25/2026 - 02:08 Important Info Faculty Sponsor First name: Kacper Faculty Sponsor Last Name: Rogala Stanford Departments and Centers: Structural Biology Chemical and Systems
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., VMI, TOF, and/or reaction-microscope-type detection) and develop the analysis pipelines for correlated multi-particle data. Contribute to the implementation and characterization of quantum-light sources
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data analysis (e.g., MRI, EKG) and programming (e.g., Python, MATLAB, R). Expertise in machine learning, deep learning, foundation models/LLM. Excellent quantitative and analytical skills. Strong written
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tissue to address these questions. Required Qualifications: • Experience in molecular and cell biology techniques, preferably in single cell sorting (FACS) and analysis, immunofluorescence and confocal
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with analysis of large health databases Demonstrated experience with applying advanced machine learning methods to multimodal data Demonstrated strong technical writing skills Experience with grant