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- Stanford University
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-driving laboratories The Stanford University Division of Computational Medicine is developing advanced technology in cheminformatics with the long-term goal of radically enhancing the way in which all
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training and will collaborate with PhD students, postdoctoral scholars, faculty, research staff, and external partners. Stanford collaborators include HAI, the Stanford Technology, Impact, and Policy Center
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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
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the Basic Science and Engineering (BASE) Initiative of the Children's Heart Center at Stanford University and the Department of Genetics to work on understanding mechanisms of pulmonary arterial hypertension
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Our lab recently developed a new methylation profiling technology, FLEXseq (PMID: 42130071