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USDOT-funded, multi-year R-SEAT (Rural Safe Efficient Advanced Transportation) Center research, collaborating with consortium universities and local DOT partners on pilot projects, data fusion efforts
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
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