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Job Description Are you an established researcher in probabilistic machine learning, with a passion for developing robust, trustworthy, and explainable AI methods for applications in science and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
HILL, NC Position Location North Carolina, US Hiring Range $59,743 - $63,071 Pay Band Information To learn more about the pay band for this branch and role, please see the Career Banding rates
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Intelligence (AI), Machine Learning (ML), and data-driven decision support systems for precision agriculture. The Assistant Professor – AI & Data-Driven Precision Agriculture position is part of a strategic
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Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing
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Qualifications Experience in Art/Art design Experience in Mural painting Additional Information Learning Outcomes: Installation of Mural Art - Tools and Safety Client relations Community Engagement Bowling Green
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health agencies, community organizations, and other stakeholders, NPQIC facilitates collaborative learning, provides rapid response data, and offers quality improvement science support to achieve systems
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safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and accommodation for individuals with disabilities
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. Opportunities to teach other management-related topics in human resources, leadership, or entrepreneurship may be available based on experience and departmental needs. Lecturers typically teach five courses per
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. Instruction will primarily focus on introduction to business, principles of management, and business communication courses. Opportunities to teach other management-related topics in human resources, leadership
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compiling information on a current topic in the field of machine learning. Researching and implementing novel machine learning and computer vision approaches. Self-critical evaluation of the obtained results