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, project reviews, and public-facing events. Contribute to research proposals, intellectual-property development, and future scale-up activities. Required Qualifications: PhD in mechanical engineering
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of computational methods into clinically interpretable tools for bedside monitoring. Required Qualifications: PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer
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Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related
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Centers: Earth System Science Mechanical Engineering Medicine, Infectious Diseases & Geographic Medicine Postdoc Appointment Term: This position is confirmed for two years, pending satisfactory performance
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data
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. Current and emerging areas of work include: Life-course and translational aging research, including integration of aging science across the Stanford Clinical and Translational Science Award (CTSA) program
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collected through ongoing SCEC programs. This data will support the postdoc's work developing and deploying multimodal models to improve the iFIND tool, extending its current text-based approach. Primary
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data