16 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" positions at The Chinese University of Hong Kong
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, and to bring together China and the West. The Department of Mathematics in CUHK has developed a strong reputation in teaching and research. Many of the faculty members are internationally renowned and
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, Shenzhen (CUHK-SZ) aims at building a world-class interdisciplinary research and educational center for data science. SDS is now inviting extraordinarily qualified candidates to fill multiple tenured
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University of Hong Kong, Shenzhen (CUHK-SZ) is now inviting qualified candidates to fill multiple teaching-stream faculty positions. The primary duties are teaching of undergraduate courses offered by School
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advanced areas of embodied AI. Candidates should have a strong background in robotics and artificial intelligence, with expertise in one or more of the following areas: - Robotic Manipulation: Developing
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a world-class interdisciplinary research and educational center for data science. SDS is now inviting extraordinarily qualified candidates to fill multiple tenured or tenure-track positions at all
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University of Hong Kong, Shenzhen (CUHK-SZ) is now inviting qualified candidates to fill multiple teaching-stream faculty positions. The primary duties are teaching of undergraduate courses offered by School
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exceptional candidates for multiple tenured, tenure-track, or teaching-track faculty positions across all academic ranks starting in January 2025. We welcome experts in all areas of Statistics, Biostatistics
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achievements; (iv) a strong track record of external funding; and (v) experience in postgraduate student supervision. Collaborative experience and the ability to develop research across regions will be
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scholarly outputs; (iii) substantial experience (research, development, or both) in computer systems for large-scale AI, especially focusing on hardware accelerators, data center architecture, co-packaged
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discipline; (ii) a strong research track record demonstrated by high-impact publications, patents, or other scholarly outputs; (iii) substantial experience (research, development, or both) in AI for Science