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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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and quantitative gene expression analysis Excellent organizational, communication, and teamwork skills Certificates/Credentials/Licenses Computer Skills General office suite and willingness to learn lab
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Certificates/Credentials/Licenses N/A Computer Skills MS Office and willingness to learn software used in the research lab Supervisory Responsibilities No Required operation of university owned vehicles No Does
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the possibility of extension and career growth contingent on performance and funding . Essential Duties and Responsibilities: Work collaboratively with computer scientists, computational scientists, applied
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postdoc with interests in RNA virology and host-pathogen interactions. For detailed information about the laboratory’s research, see our website (http://www.mouncelab.com). Experience in molecular virology
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health tools, clinical trials, implementation science, and global health, with research conducted in both U.S. and international settings, including Nepal. The Postdoctoral Associate will assist with
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Accommodations): • Visual acuity to read information from computer screens, forms and other printed materials and information. • Able to speak (enunciate) clearly in conversation and general communication
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software
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. The candidate is expected to have strong expertise in rail and transit transportation and engineering The candidate may be required to travel independently to various locations in the U.S. and work offsite
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at the intersection of active transportation safety and AI (e.g., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision