4 computer-vision-and-machine-learning Postdoctoral positions at University of Nevada Las Vegas
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interface is required. Experience with one or more of the following is desired: large-scale genomic analyses, variant calling, cloud computing, machine learning methods, and or statistical genetics. Job
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, lithography) and synchrotron-based X-ray techniques. Other supporting characterization may be necessary, and the candidate will be expected to learn and perform the required techniques. The materials
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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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undergraduate students, more than 40 graduate students and a dozen postdoctoral scholars and research staff. Students, faculty and staff have free access to an array of computing clusters at the National