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, immunostaining, multiplexed protein assays, light and confocal microscopy. Computational experience with R and bash processing. Computer experience with spreadsheet and word processing applications. Experience
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encouraged to apply. Previous experience working with optical imaging and computer vision is a strong plus. The successful candidate will be jointly based in the Department of Urology at the Stanford
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techniques a plus. Computer experience with spreadsheet and word processing applications. Experience or willingness to learn quantitative imaging analysis of brain tissue imaging. EDUCATION & EXPERIENCE
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. Our culture is fast-paced, energetic, and growing all of the time. We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options: Events and program for children
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program, synthesizing approaches from psychology, artificial intelligence, natural language processing, computer vision, and human-computer interaction. In addition, the fellow will be encouraged
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, simulating real world settings and looking at fairness and generalizability. In particular, a background in computer vision and human-AI interaction is best suited for this role and project. Postdocs will have
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diseases, leveraging cutting-edge techniques in ultrasound, CT and X-ray image analysis. Responsibilities include: Develop and implement computer vision algorithms for the analysis of medical images in
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Open Postdoctoral position, faculty mentor Susanna Loeb SCALE Postdoctoral Fellow: NSSA Project, Professor Susanna Loeb The National Student Support Accelerator (NSSA) is a program of the SCALE
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insufficiency, or pancreas development and has a vision to partner with physicians and scientists at Stanford to make breakthroughs in focused areas in this space. Stanford University is one of the world’s
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University. The fellowship has two primary goals: to advance research program on the health impacts of natural hazards (especially extreme heat), and to develop the career and interests of the Fellow. The