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social robots, as well as how children’s understanding of AI develops over time. The postdoc project is part of the recently established multi-site research group Child Development in the Age of AI and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
public universities . Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best
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to recognize multicultural, multi-sexed and multi-aged value systems and work accordingly. Ability to establish and maintain cooperative working relationships with faculty, CSU administrators, student
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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-Test-Analyze (DMTA) cycle, infusing scientific automation with foundation models, multi-agent systems, and robotics to make scientific discovery intelligent, autonomous, and fast. We're seeking a
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and consistent data flow. Team with other engineering disciplines and commissioning agents to ensure projects and systems are operating within the required guidelines. Assist in the continued
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Application Deadline: Applications accepted all year round Details Due to the emergence of pathogens multi-resistant to antibiotics, there is a pressing need for novel antimicrobial strategies. Bacteriophages
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Research Analyst I (Duke RBL Virology) Duke RBL Pathogens Unit – Duke Human Vaccine Institute Be You. Position Overview: The Duke Human Vaccine Institute (DHVI) is a multi-disciplinary research organization
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methods used in fields such as computational social science. Furthermore, applicants should have research achievements in one or more of the following areas: agent-based simulation, multi-agent systems
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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful