20 parallel-computing-numerical-methods positions at North Carolina A&T State University
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 2 months ago
Description: Serve as Program Director for the Future Education Model Dietetics Graduate Program in the Department of Family and Consumer Sciences. This position provides oversight for coursework and duties
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travel arrangements and reimbursements, and handling mail. The position requires the independent execution of various tasks, including some technical duties, to support program functions. Additionally
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Agricultural Research program, and the Center for Environmental Farming Systems Small Farm Unit, in Goldsboro, NC. This position is responsible to support and assist in a unique long-term specialty fruit and
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graduate-level courses. Faculty in this role will provide student advising, student mentoring and recruitment, curriculum development, and engagement in program assessment accreditation-related procedures
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. Through our Agricultural Research Program and Cooperative Extension Program, we can research issues of importance to North Carolina and provide research-based outreach training to citizens across the state
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) that are delivered in community based settings through Cooperative Extension at North Carolina A&T 4-H program and partnerships across the state. Position will also collaborate with other Area Specialized Agents
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also assist in the development of proposals to funding agencies; develop and supervise the development of methods, techniques, and instrumentation needed to carry out research projects and results
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of Natural Resources and Environmental Design. Within these departments, students will find a myriad of opportunities for classroom learning, research and field work. Through our Agricultural Research Program
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-class interdisciplinary core in AI, contributing to the University's research endeavors in cybersecurity, cyber-physical systems, machine learning, deep learning, computer vision, large language models
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-class interdisciplinary core in AI, contributing to the University's research endeavors in cybersecurity, cyber-physical systems, machine learning, deep learning, computer vision, large language models