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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
of Pharmacy in the U.S. by the U.S. News and World Report. The School has experienced unprecedented growth and success and continues to strategically position itself for sustained impact, as articulated in
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to contribute to the development unique science directions, in collaboration with the Team and sponsoring organizations. Furthermore, the position requires collaborating and interacting with staff at ORNL’s
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interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and
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publications and a position in a growing patent portfolio. The successful candidate will interact regularly with senior faculty at partner institutions. Detailed technical scope will be discussed during
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on next-generation communication and sensing technologies for enhancing safety and performance in intelligent networked systems. The appointee is expected to make significant contributions
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Design research and participatory design methods Prototyping and evaluation of intelligent interactive systems The research will contribute to the development of adaptive interaction strategies
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our understanding of how cloud-microphysical processes in stratocumulus interact with radiation and turbulence. Working style and research environment: You will join the Geoscience & Remote Sensing
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robotic manipulation. This role will support our mission to advance AI-driven robotic systems for real-world applications, including human-robot interaction, robotic perception, and intelligent control
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, or optimization**, connected to **artificial intelligence** and the research of **Antonin Chambolle** and his collaborators at CEREMADE. The position is a research position. The candidate will interact mainly with
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systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. You will work in the Intelligent Data Engineering lab (INDElab