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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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University is seeking multiple Postdoctoral Scholars to develop next-generation AI and imaging technologies for image-guided interventions and precision radiation oncology. Position 1: AI for Medical Imaging
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appointment. Appointment Start Date: The start date is flexible. We will review applications on a rolling basis. Group or Departmental Website: https://pathology.stanford.edu/(link is external) How to Submit
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Posted on Mon, 06/08/2026 - 15:29 Important Info Faculty Sponsor First name: Wendy Faculty Sponsor Last Name: Liu Stanford Departments and Centers: Ophthalmology Group or Departmental Website: https
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; publications in medical imaging or health data science are highly desirable. Proficiency in Python; experience with ML frameworks (PyTorch, TensorFlow); familiarity with imaging libraries, data governance, and
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: Immediately available Group or Departmental Website: https://www.simonsfoundation.org/neuroscience/simons-collaboration-on-ecological...(link is external) How to Submit Application Materials: Email your
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Medicine Postdoc Appointment Term: One year, with option to extend by mutual agreement Appointment Start Date: As soon as possible Group or Departmental Website: https://med.stanford.edu/cornfieldlab
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and/or related fields including genetic epidemiology, human genetics, biostatistics, bioinformatics, computational biology, or phenomics (including EHR, deep medical imaging, and biomarker profiling