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Field
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virtual environments Strong quantitative skills (R, Python, or Stata; experience with machine learning or advanced experimental methods is a plus) Familiarity with VR-related toolkits (e.g., Unity, Unreal
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of wall and ceiling surfaces. 6. Use and maintain a variety of cleaning and maintenance machines, ladders, tools and equipment. 7. Wash windows, clean furniture, dust windowsills and ledges and clean
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on the perception and credibility of the University Libraries. The position manages a team of professional and student staff and reports to the Director, Digital Media Technology. This role is expected to: Consult
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assessment of seed yield and quality traits using imaging, machine learning, and edge computing technologies. The position will assist with the development, testing, and deployment of AI models for analyzing
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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sensors capable of characterizing the dynamic state of buildings and their inhabitants. By combining multi-microphone acquisition techniques with state-of-the-art machine learning methods, acoustic sensing
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researchers Background in sensing technologies, computer vision, or perception Foundational knowledge of machine learning and data-driven methods Experience with robotic fabrication, custom tools, or end
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and Communications Department in the day-to-day execution of internal and external marketing and communications projects. This role enhances public perception and awareness of the off campus agency's
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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for cosmetic products Development and application of machine learning and data analysis methods What you contribute Ongoing enrollment in food chemistry or food technology, chemistry, physics, engineering