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to collaborate with practitioners and policymakers to identify urgent questions of practical relevance and to design studies to test pragmatic solutions, analyze data, and disseminate findings and implications
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postdoctoral fellow in the laboratory of Wendy Liu, MD, PhD in the Department of Ophthalmology at Stanford University to conduct collaborative projects in vision research. Position Description: Our laboratory is
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science, substance use disorders (SUD), data science, or their intersection. Join the next generation of pain and SUD researchers at Stanford’s Pain Division and translate research discoveries into safe
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motivated and skilled postdoctoral researcher to lead projects related to PhacoTrainer—computer vision models for cataract surgical video recognition. Project themes will include validating PhacoTrainer
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, biomedical data science, genetics, and AI. (5) Lead and contribute to peer-reviewed manuscripts, conference presentations, and grant proposals. Required Qualifications: PhD, MD, MD/PhD, or equivalent doctoral
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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
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identifying structures and processes that promote high quality healthcare. Our projects apply advanced analytical methods to large databases of primarily structured electronic health record data and EHR usage
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underrepresented populations, making it essential to develop AI methods that can learn from real expert practice while meeting stringent privacy, consent, and data-governance requirements. The SCEC has developed
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the sensitivity and information content of cell-free nucleic acid analysis, including ctDNA detection at very low tumor fractions and cfRNA-based readouts of tumor and host biology. A second arm applies these
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design through data work, analysis, and publication, with the goal of co-authored papers aimed at leading economics and interdisciplinary journals. Contribute to ongoing lab projects or priorities based