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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
contribute to the development of next-generation AI software within the ACM Lab that leverages LLMs, multi-agent reasoning, and advanced machine-learning techniques to enable rapid, scalable analysis of large
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Reporting to the Deputy Director for Integrated Security Missions, this executive
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, and convenient shuttle bus service to Janelia from the Washington D.C. metro area. Opportunity to partner with frontier AI labs on scientific applications of AI (see https://www.anthropic.com/news
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individual to viral, bacterial, and fungal agents known to be transmissible to man. Exposure to chemicals and anesthetic waste gases may be potentially hazardous if mishandled or misused. An environment
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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community. We are committed to excellence, providing unparalleled expertise, and maintaining a world-class standard in service. Please visit us at: https://fs.ucf.edu/ or Facebook and Instagram: UCF
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streams aligned with institutional priorities. • Develop, implement, and continuously refine multi-year and annual enrollment plans with a strong focus on transfer students, adult learners, and other growth
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organization for research publications, with potential for co-authorship. Additional details of these responsibilities are provided below: Coordinate the conduct of complex (i.e., multi-drug regimens, high
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to work with a multi-disciplinary research team in computer science, as part of the SCALE centre