88 wireless-sensor-networks-postdoc Postdoctoral positions at University of Washington
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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models for each study site, informed by sensor networks and image-based observations. Conduct cross-disciplinary geospatial analyses linking modeled flooding patterns with soil pathogen and participant
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network of scientists in nuclear theory, applied mathematics, and computer science. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found
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addition to the research opportunities, the postdoc will have access to a wide range of networking connections within the plant biotech industry and start‑up ecosystem in the St. Louis area. Our lab has an established
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future. The opportunity for involvement with the School’s Innovation Research Networks (IRNs), which are at the heart of the School’s research mission, is a key unique feature of this position. The primary
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sensors. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under
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largest park in the US (Forest Park). We offer a competitive salary and benefits consistent with NIH guidelines. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in
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. The opportunity for involvement with the School’s Innovation Research Networks (IRNs), which are at the heart of the School’s research mission, is a key unique feature of this position. The primary goal
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, and related intestinal infection risk in low-resource regions of the United States. The postdoc will contribute to a newly-funded multi-disciplinary project: “Predicting Flood-Related Health Threats in
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Position Details Position Description Dr. Juming Tang’s group at the University of Washington has launched a new research program focused on developing novel sensors and AI tools to enhance the transparency