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environmental sustainability by applying machine learning, data science, remote sensing, robotics, and other emerging digital technologies. The position offers opportunities to collaborate with faculty
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environmental sustainability by applying machine learning, data science, remote sensing, robotics, and other emerging digital technologies. The position offers opportunities to collaborate with faculty
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accept instruction and feedback. Previous machining, CNC , CAD / CAM , or shop experience is helpful but not required. Experience with FIRST Robotics, woodworking, welding, metalworking, 3D printing, or
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Position Description The Department of Mechanical & Materials Engineering ( https://engineering.unl.edu/mme ) at the University of Nebraska-Lincoln (UNL) invites applications for a tenure-track
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. In conjunction with the DOE’s METALLIC platform ( https://netl.doe.gov/metallic ), we are developing a closed-loop autonomous experimentation platform that integrates scientific instrumentation, data
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• applications of robotics and/or autonomous systems Applications of the work could relate to productivity improvement, resource optimization, systems efficiency, and/or operational strategies and
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soil and water management, decision-support tools, precision human nutrition, remote sensing, robotics, sensors and variable-rate applications). The successful applicant must demonstrate strong
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technologies. You will bring emerging developments in AI and computation into the studio, encouraging experimentation across creative coding, photography, installation, performance, robotics, software, moving
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good academic standing Preferred Experience Interest in science education Interest/experience with robotics Experience writing a literature review Experience with IRB CITI Human Research Certification
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development • Effective communication, collaboration, and mentoring skills Qualifications: (Preferred) • Experience working with AI/ML tools and field-deployed technologies (e.g., sensors, drones, or robotics