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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
to premier education and research. -Make connections to people and projects that ignite your passion. We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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. Responsibilities: Implement AI approaches for crop sensing, growth analysis, and stress monitoring, with a strong focus on modeling and interpreting plant-environment interactions for intelligent climate control
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, Information Science, Mechanical Engineering, Human-Computer Interaction, Textile Engineering, Fiber Science and Apparel Design, or related field. Proof that all PhD requirements have been fulfilled before
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to the implementation and perpetuation of values and ethics. Work with others to maintain a high level of scientific productivity. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core
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will assist in the design and testing of the leaf replica, whereas the fabrication will be performed by specialists in the clean lab. You will leverage and develop your expertise to generate new
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seeking a Research Lab Assistant for The Stereotyping and Social Interactions Virtual Reality (SSI-VR) Lab within the Department of Psychology, School of Arts and Sciences. Among the key duties
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your hire date includes: Competitive Salary Tuition Benefits Internal Training BCBS PPO Medical insurance – 100% paid for full-time employees PPO and DHMO Dental Insurance Plan – PPO plans include ortho
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, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for
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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific