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Science, Biomedical Engineering, or related field. • Demonstrated expertise in at least one of the following: – Large‑scale macaque electrophysiology (ideally Neuropixels) – Cognitive & behavioural paradigms in
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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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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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endoplasmic reticulum (ER) membrane. The project will combine cutting-edge approaches in functional genomics, mechanistic cell biology, cryo-electron microscopy, and protein engineering. We are particularly
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development and real-world clinical evaluation. The researcher will join a multidisciplinary team of faculty, postdoctoral researchers, engineers, clinicians, statisticians, informaticians, and trainees
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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