Sort by
Refine Your Search
-
, 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
-
multidisciplinary team studying the genomics of neurodegenerative diseases, with a special focus on Alzheimer’s Disease (AD). Current research focuses on using novel methods to detect genetic associations with
-
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
-
immediately in the Department of Surgery at Stanford University. As part of the Asian Liver Center, our lab uses multidisciplinary approaches to identify and develop more efficacious methods for the diagnosis
-
community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data processing, statistical computation, methods development, data
-
organize data. Adapt new, nonstandard methods outlined by supervisor in designing and evaluating phases of research projects, (i.e., educational materials, questionnaires, strategies for recruitment, data
-
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
-
: bacteriology, fluorescence microscopy, electron microscopy, antibiotic assays, biochemical purifications, biochemical assays such as binding assays and protein gel electrophoresis, as well as analytical methods
-
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
-
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