348 computational-physics-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Hong Kong
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Department of Applied Mathematics Research Assistant Professor in Optimization and Operations Research / Statistics and Data Science / Financial Mathematics / Engineering and Computational
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http://www.cds.hku.hk . The Positions The positions are open to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT
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Job Description FACULTY OF SCIENCE DEPARTMENT OF COMPUTER SCIENCE The Department presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following
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Ref.: 534136 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-track Professor
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: Optimization and Operations Research,Statistics and Data Science,Financial Mathematics,Engineering and Computational Mathematics,Mathematical Science Appl Deadline: none (posted 2025/10/10 05:00 AM) Position
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Department of Applied Mathematics Assistant Professor in Optimization and Operations Research / Statistics and Data Science / Financial Mathematics / Engineering and Computational Mathematics
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; (f) engage with prospective students to provide information about the programme, answer inquiries and assist with the admission process; (g) contribute to the planning and execution
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operation of computer systems; (b) assist in the implementation of system upgrading and migrations; (c) provide technical and administrative support in data collection, data analysis, filing and system
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in interactive product design, user interface/user experience design and visual design; (b) working knowledge in physical computing and/or coding/scripting; (c) an excellent command of written
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, process and analyse qualitative and quantitative data; (d) develop design concepts, interactive prototypes and presentation materials; (e) support programming, technical development and digital