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Preferred Qualifications: Experience with computer, network, and wireless systems through hands-on work or formal education (e.g., computer science, software engineering, network engineering. management and
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). The degree track prepares students in geospatial and sensor technologies, precision agricultural systems, and data analysis and modeling, to enable data-driven decisions that improve economic and environmental
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field, laboratory, and analytical research related to (1) electrically conductive concrete (ECON) for heated transportation infrastructure, wireless electric vehicle charging, and structural health
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students, academic advisors, faculty, alumni, and employers. Experience with program development and outreach, including planning and delivering events, workshops, classes, and networking opportunities
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Network Models" (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2451973 ) and "A mathematical theory for the biological concept of modularity” (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2424632
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signage, lecture capture, and wireless sharing systems across campus. Maintain and troubleshoot AV equipment, including diagnosing complex multi-issue problems and ensuring alignment with campus AV
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), variable frequency drives, and other emerging technology equipment/systems. Tests and evaluates performance of systems using specialized equipment, repairs or replaces defective valves, thermostats, sensor
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), variable frequency drives, and other emerging technology equipment/systems. Tests and evaluates performance of systems using specialized equipment, repairs or replaces defective valves, thermostats, sensor
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protocols (export controls, NSPM-33, CHIPS and Science Act). Attend relevant conferences, trainings, and professional development opportunities. Participate in higher education safety networks and information
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of sensors, variable rate application methods, etc.). This position will include teaching two undergraduate courses in fruit and vegetable production (one every other year), and contribution to departmental