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professional with a background in the fundamentals of packaging design, packaging production, packaging for distribution, packaging product development, or related fields. The successful candidate will bring
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. Specific areas of research interest include Industry 4.0, AI/ML-driven manufacturing, manufacturing system design and development (including machine-to-machine networking and data collection), data analytics
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with industry leaders to enhance internship and job placement opportunities. Contribute to curriculum development and program innovation, ensuring alignment with industry trends. Ensure student success
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leadership to the courses that they will teach. Under typical circumstances, the teaching load will be three courses per semester, which includes course and laboratory development and management activities. In
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desire candidates with skills in advanced programming, spatial data science, GIS, and GeoAI. Your research will contribute to the development of sustainable, smart, and resilient urban transportation