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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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using in vivo Perturb-seq. This project is related to a new NIH-funded Program Project Grant aimed at identifying differences and similarities in gene function across vascular cell types and diseases, as
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healthcare domains preferred Experience with mixed methods research approaches preferred Doctoral degree (PhD, MD, or equivalent) conferred by start date Required Application Materials: Curriculum Vitae Cover
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computational structural biology, ideally complemented by molecular biology expertise, who are excited to work at the interface of these disciplines. Lab overview: The Huttenhain lab in the Molecular & Cellular
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Posted on Tue, 09/01/2026 - 16:56 Important Info Faculty Sponsor First name: Tina Faculty Sponsor Last Name: Hernandez-Boussard Stanford Departments and Centers: Medicine, Biomedical Informatics
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postdoctoral position in the laboratory of Michael S. Kapiloff, MD, PhD, Reinhard Family Professor in the Departments of Ophthalmology and Medicine. We are seeking to recruit a highly motivated retinal
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biochemical techniques Proficiency in computational biology and/or biomolecule structure determination Required Application Materials: Cover letter that includes: A description of at least one major project and
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computational analysis of large-scale pharmacogenomic datasets. The lab maintains active collaborations with medicinal chemists, structural biologists, and clinical oncologists at Stanford and elsewhere
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candidate will gain expertise in CRISPR screening, drug sensitivity profiling, target deconvolution, and the computational analysis of large-scale pharmacogenomic datasets. The lab maintains active
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Health Epidemiology and Population Health Health Policy Med: PCOR Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Science Medicine, Center for Digital Health Postdoc