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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
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, psychiatry, developmental psychopathology, neuroimaging research (MRI, fNIRS), engineering, computer science, or related fields. Required Qualifications: Doctoral degree (PhD, MD, or equivalent) conferred by
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of infectious diseases research and provides a strong community of scientific colleagues and students. Required Qualifications: The ideal candidate will have a PhD in Epidemiology, Engineering, Data Science
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recipients—coming from fields such as computer science, earth systems science, economics, engineering, health policy, political science, and sociology—to pursue policy-relevant research on topics related
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closely with a multidisciplinary team including physicists, radiation oncologists, biologists, and engineers. Key Responsibilities: Deliver and optimize ultra-high dose rate (FLASH) radiotherapy to small
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Posted on Fri, 11/29/2024 - 19:09 Important Info Faculty Sponsor (Last, First Name): Saberi, Amin Stanford Departments and Centers: Mgmt Sci & Engineering Postdoc Appointment Term: One year with
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project with our cornea and chemical engineering department to better understand corneal neurotization and improved techniques to treat neurotrophic keratopathy and techniques to deliver growth factors and
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Posted on Mon, 01/13/2025 - 16:30 Important Info Deprecated / Faculty Sponsor (Last, First Name): Lo, Irene Stanford Departments and Centers: Management Science and Engineering Stanford Impact Lab
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for early detection of multiple cancers Assessing built environment's impact using health technology Environmental and neighborhood influences on health (physical, social, cultural environments) Health