86 computational-physics-superconductor Postdoctoral positions at Stanford University
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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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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new areas of research that cross classical disciplinary boundaries. Our department studies the surface and interiors of the Earth, Moon, and planets through laboratory experiments, computational and
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organoids. A combination of bioinformatic and wet-lab approaches We welcome applicants with experience in molecular biology, human ogranoid, neurobiology, RNA biology, or computational biology — or a strong
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with a strong background in cognitive or computational neuroscience, with an emphasis on neuroimaging techniques and computational methods. The ideal candidate will possess not only a deep conceptual
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highly motivated and collaborative Postdoctoral Fellow with an interest in optics, device physics, and/or environmental sensor integration for ocean observation. We are an interdisciplinary group
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Postdoctoral position in Computational Immunology We are looking for two motivated postdoctoral researchers to work on human macrophage biology in the Department of Pathology at Stanford. Successful candidates
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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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their careers and leadership. To begin in the Fall of 2025, The VMware Women's Leadership Innovation Lab is now accepting applications to a two-year postdoctoral research scholar program. The VMware Women’s
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of this postdoctoral program is to conduct high-quality epidemiological research in the field of urological cancers with a special emphasis on kidney cancer epidemiology (including prevention and screening, control