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interdisciplinary. Group members come from backgrounds including microbiology, chemistry, chemical biology, biochemistry, physical chemistry, biophysics, and engineering, and we value the different experimental and
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from across Stanford University including the Schools of Medicine, Humanities and Sciences, Engineering, Education, Law, Earth Sciences, and the Graduate School of Business together with colleagues
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to intervention). Researchers face these same challenges creating a bottle-neck to research at scale. While education technology companies have built products that lower the demands on teachers, many
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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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include: Identifying spatial determinants of therapeutic delivery and response in solid tumors, including antibodies, antibody-drug conjugates, immunotherapies, targeted therapies, and engineered cell
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. The fellow will also work closely with SCEC Senior Machine Learning Engineer Dr. Lauren Klein Dubin, who will provide day-to-day supervision of the fellow's technical work. The fellow will have opportunities
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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