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fabrication and materials research. They function to give students an intimidation-free and safe learning environment, equipped with modern technologies in support of the curriculum, with which they can
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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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University of California, San Francisco | San Francisco, California | United States | about 10 hours ago
computer familiarity, keyboard skills, computer literate in programs such as Microsoft Word and Excel required Willingness to learn new computer programs as needed to sustain practice operations Preferred
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 1 yr Required License/Registration/Certification None Physical Requirements This position requires regularly
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Location Lexington, KY Grade Level 05 Salary Range $15.00-22.60/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https
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Level 05 Salary Range $15.00-22.60/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https://hr.uky.edu/employment
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information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 1 yr Required License/Registration/Certification None Physical Requirements This position
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- 2:30pm Position Summary The Cleaner is responsible for maintaining cleanliness levels in campus facilities providing an environment conducive for teaching, learning and living. Responsibilities
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technical support and/or sales of computers and supporting software. Excellent customer service skills. Ability to learn the computerized inventory control/accounting/point-of-sale system. Ability to become
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automates building and modifying surface structures, submitting DFT calculations, post-processing electronic structure and vacancy energies, and extracting machine-learning descriptors for modeling oxygen