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technology. A recent example of our work can be found at Nature Medicine(link is external) , (PMID: 41530382) and further information on our lab can be seen at https://sinhalab.stanford.edu/(link is external
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Posted on Sat, 03/07/2026 - 12:45 Important Info Faculty Sponsor First name: Sindy Faculty Sponsor Last Name: Tang Stanford Departments and Centers: Mechanical Engineering Bioengineering Group
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rational strategies for next-generation therapeutics. The Lu Lab develops 2D/3D spatialtemporal omics, spatial pharmacology, and computational/AI approaches to map, model, and reprogram how cells
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degree in biomedical data science, computational biology, genetics, bioinformatics, machine learning, computer science, statistics, engineering, medicine, or a related field. Strong candidates may have
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demonstrated ability to design, train, and deploy large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment
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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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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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Centers: Pediatrics, Cardiology Genetics Postdoc Appointment Term: Initial 2 years then reappointment possible Appointment Start Date: Immediately Group or Departmental Website: https://med.stanford.edu
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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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option for extension Appointment Start Date: start date flexible / rolling Group or Departmental Website: http://cfna.stanford.edu(link is external) How to Submit Application Materials: Email: weigu