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, Jianghong Rao, Ali Syed, Michael Lustig). Our team focuses on advancing the state of the art in MRI lymphangiography (MRL). Elements of our team's projects include 1) Developing techniques for noncontrast MRI
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questions as to the short and long-term impacts on vascular disease risk. Published work from our laboratory has shown that both subcutaneous infusion of the major tobacco component, nicotine, and inhaled e
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or involved in RAPID surveys. This project constitutes a critical component of the New Ecology of Early Childhood (link is external) being developed at SCEC. Key Responsibilities: Conduct statistical analyses
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their appointment. Knowledge of theoretical and/or observational cosmology, particularly including perturbative methods, will be an asset. Candidates with a strong background in other theoretical or data analysis
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as necessary. Analyze data to assess prevalence of lead exposure sources, associations with key outcomes, and spatial trends. Support or lead mixed-methods analysis combining survey data with
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applications, and participate in grant applications. Keep up to date with recent scientific advances, mentor junior trainees, and coordinate projects. Skills Developed: Immunology: acquire cutting-edge methods
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: bacteriology, fluorescence microscopy, electron microscopy, antibiotic assays, biochemical purifications, biochemical assays such as binding assays and protein gel electrophoresis, as well as analytical methods
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pharmacoepidemiologic methods. Experience with NLP or unsupervised learning methods. Prior publications in relevant fields. Required Application Materials: Cover letter detailing research interests and fit
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Substitution in the Blind; Ocular Structures and Physiology; MR Engineering and Methods Development for the Visual System. MRI experiments will mainly be conducted at research centers at the Stanford campus and
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methods to improve prediction model generalizability, model fairness, and generalizability of fairness across different clinical sites. The researcher will have the opportunity to use machine learning and