94 fully-funded-phd-program-computer-science-eth Postdoctoral positions at Stanford University
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and Centers: Graduate School of Education Postdoc Appointment Term: Summer/Fall 2025 through Spring/Summer 2026; potential renewal for a second year based on performance and funding availability
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Posted on Tue, 05/20/2025 - 08:16 Important Info Deprecated / Faculty Sponsor (Last, First Name): Voskoboynik, Ayelet Other Mentor(s) if Applicable: Oceans PI Steve Palumbi and Biology PIs Vanessa
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department-funded project. Dr. Hekman’s lab research interests are in developing regenerative technologies for vascular disease, including peripheral artery disease (PAD) and lymphedema. PAD is driven by age
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strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
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, Stanford PRL), career development resources, and competitive benefits and salary commensurate with experience. Required Qualifications: PhD in physics, electrical engineering, mechanical engineering
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epidemiological research on the use of medications among pregnant and postpartum individuals. The position is NIH-funded and the scholar will work closely with Drs. Brian Bateman and Stephanie Leonard. Our projects
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Studies Required Qualifications: PhD, MD or MD,PhD in Immunology, Cell Biology or a related field Required Application Materials: Letter of interest CV including publications and names of references
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arterial hypertension 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
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Description The Stanford Department of Applied Physics 2025-26 Karel Urbanek and the Marvin Chodorow Postdoctoral Fellowships is an annual program aimed at recruiting young scientists of exceptional ability
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Required Qualifications: PhD in Neuroscience, Bioengineering, Electric Engineering, Computer Science, Physics, or a related field Strong quantitative and analytical skills Experience in either experimental