10 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs at HONG KONG BAPTIST UNIVERSITY
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Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a
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high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition
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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 rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related areas. The appointee is expected to conduct high-impact research
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) Responsibilities: Initially, the appointee will work closely with Professor David Parker FRS, Chair Professor in Chemistry (https://chem.hkbu.edu.hk/davidparker ) to conduct high-quality research, and showcase
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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David Parker FRS, Chair Professor in Chemistry (https://chem.hkbu.edu.hk/davidparker ) to conduct high-quality research, and showcase original research accomplishments that have the potential to allow
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-cell imaging. The incumbent(s) will learn cutting-edge techniques in immuno-oncology studies and drug discovery, collaborate with experts in the field, and develop critical research skills. For more
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interdisciplinary projects of developing new cancer immunotherapy, using novel 3D tumor organoid models and 3D single-cell imaging. The incumbent(s) will learn cutting-edge techniques in immuno-oncology studies and