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research at the intersection of AI reasoning, biomedical informatics, and clinical medicine. Our work focuses on understanding how AI systems reason over complex longitudinal patient information, how
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-omics discovery. The fellow will help develop and apply computational approaches to study heart failure mechanisms and therapeutic targets using large-scale human datasets, including cardiovascular
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connections between the lab, classroom, and society. Required Qualifications: Highly motivated postdoctoral researcher with extensive experience with item response theory models, computer adaptive testing, and
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Medicine are seeking to appoint a Postdoctoral Research Fellow to join a project developing and validating deep learning computer vision models to classify mosquito breeding habitat on very high-resolution
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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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to continue for a second year; any reappointment is contingent on satisfactory progress, program need, continued funding, and Stanford University approval. The appointment includes eligible medical, dental
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Posted on Thu, 07/16/2026 - 19:23 Important Info Faculty Sponsor First name: Mark Faculty Sponsor Last Name: Musen Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR