987 computer-programmer-"https:"-"U"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" positions in Hong Kong
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 534478 Work type: Full-time Department: Department of Orthopaedics and
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Mathematics, particularly in research areas such as Applied Analysis/Computational Mathematics/Mathematical Modeling/Probability and Statistics, along with excellent professional and research experience; and 3
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Successful candidates should have a demonstrated ability to build a world-class research programme related to CityUHK’s strategic research areas, plus a commitment to education and student mentorship
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media technology environment. Successful applicants will contribute to the development and teaching of the transdisciplinary programme, BA (Hons) in Business Administration (Global Entertainment
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at https://www.cityu.edu.hk/pg/research-degree-programmes/entrance-requirements under "college of science". Equivalent qualifications mentioned above include relevant professional qualifications and other
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) undertake research, programme/curriculum development and administration; (d) supervise student projects at undergraduate and postgraduate levels; (e) engage in industrial and scholarly research
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postgraduate programmes - Master in International and Public Affairs (MIPA), Master of Public Administration (MPA) and Doctor of Public Administration (DPA) - as well as a thriving undergraduate programme. More
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entrepreneurship Appointees will contribute to teaching, project supervision, programme management, curriculum design, student learning support, and academic development activities within their assigned cluster
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scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics
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, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably minimum 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level