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research consortia studying childhood liver and gastrointestinal diseases. The Section’s research has been funded by more than 3.5 million dollars per year in grant support including the Pediatric GI T32 NIH
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urban mobility research. Experience working with spatial data and GIS. Knowledge of air quality, environmental exposure, or sustainability transitions. Experience interacting with policymakers
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The Jalili Lab /Connecticut Children’s GI collaboration is seeking a highly motivated and talented postdoctoral fellow to join our team. The successful candidate will have the opportunity to work
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How do mobility systems respond when everyday travel is disrupted? How can we model who loses access, where, for how long, and under what conditions recovery is possible? We are looking for a
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 8 days ago
. This research may include analysis of regional and global stress fields for fracture formation. Mapping using Geographic Information Systems (GIS) tools can be used to constrain the mechanisms and stresses
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urban or built-environment contexts. Experience with spatial data analysis, GIS, sensor-based mobility data, or behavioral mapping methods. Strong analytical and data-handling skills and experience with
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, evaluation, and data collection and analysis methods in urban or built-environment contexts. Experience with spatial data analysis, GIS, sensor-based mobility data, or behavioral mapping methods. Strong
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The successful candidate will be part of the GIS&T Research Group, and will focus on developing new GeoAI models for applications in mobility, urban analytics, and smart cities. WHAT WE ARE LOOKING FOR You hold a
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urban mobility research. Experience working with spatial data and GIS. Knowledge of air quality, environmental exposure, or sustainability transitions. Experience interacting with policymakers
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equally between teaching Remote Sensing and GIS at bachelor and master levels and advancing research about the integration of cutting-edge AI and machine learning as tools to enhance the analysis