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in high impact academic journals and at premier scientific conferences. The Glasser/Van Essen lab’s senior staff are highly experienced, having developed much of the HCP’s software themselves, and are
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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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dentistry including faculty members with specialty training in periodontics, orthodontics, and oral medicine. OHS also sponsors the School of Dentistry’s only PhD program as well as the combined DDS-PhD
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the transmission dynamics of parasitic infections and the evolutionary and genetic processes that shape their epidemiology. The postdoctoral fellow will contribute to NIH-funded projects aimed at developing and
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opportunity to work with the founding directors of the MADRES cohort now at the new WashU School Public Health (in St. Louis, MO) and to be a part of the School of Public Health’s development and future
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) injury in livers. Specifically, the Kim lab investigates the mechanisms behind steatosis-mediated increase in hepatic I/R injury to develop novel therapeutic strategies to improve liver function after
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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control) due to multiple interacting disturbances such as wildfires, drought, and insect outbreaks. The researcher will apply and adapt a spatially explicit multi-hazard risk assessment framework developed
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dentistry including faculty members with specialty training in periodontics, orthodontics, and oral medicine. OHS also sponsors the School of Dentistry’s only PhD program as well as the combined DDS-PhD
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postdoctoral scholars, working on the development of a core, scalable methodology. This methodology leverages existing spatial data on landscapes, fire behavior, and fuel treatments to evaluate real-world