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interpretability. Develop and test prototype software and participate in the approval and release process for new software. Prioritize and extract data from a variety of sources such as reports, legal documents
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, Biomedical engineering or related fields Previous research experience in cognitive neuroscience Previous experience in performing brain imaging data acquisition, neuropsychological assessments and signal
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. Susan Athey, the Lab brings together affiliated academics, staff, researchers, and students passionate about developing, evaluating, and scaling innovative technology solutions for social impact. The Lab
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resource for non-routine inquiries such as requests for statistics or surveys. Test prototype software and participate in approval and release process for new software. DESIRED QUALIFICATIONS: Advanced
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is strongly preferred. If coming from an engineering-oriented background, basic knowledge of anatomy/physiology are recommended. Basic surgical hand skills, including suturing, handling basic
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common data elements for data collection. May test prototype systems and participate in the approval and release process for new systems and reports. MINIMUM REQUIREMENTS Education & Experience: Bachelor's
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newsletters and annual reports. Oversee the application and review process for the Technology Development Seed Grant Program, and provide funding for the Medical Scholars, which supports medical students doing
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Biomedical Data Science, Research IT, and Research Informatics Center. The incumbent will work with a combination of structured and unstructured (text, imaging) data from several sources, including Stanford's
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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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, or MATLAB) are required. Knowledge in one or more of the following areas is desirable: biomedical imaging, biomedical optics, computer vision, bioinformatics, single-cell profiling technologies, spatial omics