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organoids A combination of bioinformatic and wet-lab approaches We welcome applicants with experience in molecular biology, cancer biology, neurobiology, RNA biology, or computational biology — or a strong
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Posted on Tue, 01/21/2025 - 07:48 Important Info Deprecated / Faculty Sponsor (Last, First Name): Wang, Sophia Stanford Departments and Centers: Ophthalmology Appointment Start Date: ASAP Group or Departmental Website: http://optima.stanford.edu (link is external) How to Submit Application...
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different disciplines and mentors Stanford Departments and Centers: Med: Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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interdisciplinary scientific evidence. This program is funded by the U.S. Department of Education's Institute of Education Sciences (IES) (link is external) , grant number R305B220018, and housed at the Stanford
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Research Institute, the Department of Pediatrics, Psychiatry and Behavioral Sciences, Gynecology and Obstetrics, and Biomedical Data Science at Stanford University School of Medicine. This program will
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Posted on Mon, 11/11/2024 - 12:40 Important Info Faculty Sponsor (Last, First Name): Qiu, Xiaojie Stanford Departments and Centers: Genetics Computer Science Postdoc Appointment Term: Initial 2
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T32 Training Program in Pain and Substance Use Disorders is intended to develop postdoctoral trainees’ skills to become independent investigators in the fields of pain, substance abuse disorders, and
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Posted on Tue, 03/04/2025 - 15:09 Important Info Deprecated / Faculty Sponsor (Last, First Name): Bohg, Jeannette Stanford Departments and Centers: Computer Science Postdoc Appointment Term: 2025
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looking for a challenging and rewarding postdoctoral fellowship in pain science, substance use disorders (SUD), or data science? Join the next generation of pain and SUD researchers at Stanford’s Pain
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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance