65 internships-in-structural-engineering Postdoctoral positions at Stanford University
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individuals who have a Ph.D. or are nearing completion of their Ph.D. with experience in cell biology, structural biology, protein biochemistry, or neurobiology to join a highly interactive, international and
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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
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study of ECE and policy impacts. Strong data analytical skills using advanced statistical methods (such as mixed effect models, multilevel modeling, structural equation models, longitudinal modeling, etc
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Posted on Wed, 08/07/2024 - 14:53 Important Info Faculty Sponsor (Last, First Name): Boehm, Alexandria Stanford Departments and Centers: Civil and Environ Engineering Oceans Postdoc Appointment Term
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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technology. The successful candidate will contribute to projects focused on gene therapy applications and the development of innovative viral delivery systems for therapeutic interventions, and genetic
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the Office of Postdoctoral Affairs. The FY25 minimum is $73,800. The Mackall Lab is pleased to offer a Postdoctoral Fellow position with a focus on T cell engineering in the Stanford Center Cancer Cell Therapy
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internal equity. Pay Range: MIN $73,800 Postdoctoral Scholar - Human Embryo Development & Reproductive Tissue Engineering Are you passionate about making ground-breaking contributions to the field of human
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world to develop knowledge necessary to realize that vision. We look for the brightest minds in the natural sciences, engineering, materials science, policy, economics, and business who are interested in tackling
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in Neuroscience, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis