173 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs in Hong Kong
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. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding performance in Physics or related
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completion of a Ph.D. in business analytics, operations research, operations/supply chain management, machine learning, artificial intelligence, or related fields by September 2026. Preference will be given
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microphotonics/microelectronics and quantum technology. Candidates will be responsible for both research and teaching. They are expected to teach courses at the undergraduate and postgraduate levels, specifically
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machine learning. There are currently 56 academic staff and about 154 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the
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willing to work in a collaborative environment. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high
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Professor (25260446) Responsibilities: The Department is recruiting one scholar at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics
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(25260475) Responsibilities: The Department is recruiting a scholar at the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related
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. The Department currently offers undergraduate and postgraduate programmes and actively engages in various research and consultancy work. Please visit the website at https://www.polyu.edu.hk/aae
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and in the promotion of the highest standards of nursing practice. Further information about the School is available at http://www.nur.cuhk.edu.hk/ . Assistant Professor Applicants should have (i) a PhD
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research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential