26 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"O.P"-"IDAEA-CSIC"-"U" positions at Hong Kong Polytechnic University
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skills; and (c) rich program coding experience. Applicants are invited to contact Prof. Richard T. R. Qiu at telephone number 3400 2636 or via email at richard.qiu@polyu.edu.hk for further information
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documentation; (b) design and produce engaging marketing collaterals, infographics and visual storytelling assets to communicate project impact and engage stakeholders; (c) plan and coordinate project
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project - “Training verification for the elderly: developing a metaliteracy program based on web-track data and large language models”. He/She will be required to: (a) assist in data analysis; and (b
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) a master’s degree in the field of Engineering or Computer Science; (b) an excellent command of English; (c) experience in using Unity3D; and (d) strong programming skills in C++ and Python
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five years of post-qualification experience at the time of application; (b) strong econometrics background; (c) strong programming skills; and (d) rich knowledge of demand forecasting
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implementing all aspects of research, including data collection and analysis; (b) support the development and implementation of research plan; (c) liaise with internal and external parties and stakeholders
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an outstanding publication record in high-impact peer-reviewed journals or top-tier conferences; (d) have strong analytical, programming, or experimental research capabilities aligned with the thematic focus
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degree or an equivalent qualification, preferably in Computer Science, Engineering, Signal Processing, or a related field; (b) hands-on experience with programming (e.g., Python); (c) interest in AI
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interests and programming skills in Python, with experience in deep learning frameworks. Applicants are invited to contact Dr Shi Danli at telephone number 2766 4825 or via email at danli.shi@polyu.edu.hk
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working experience in data analysis, statistical modelling, or applied research; (c) strong programming skills (e.g., Python, R, MATLAB) and experience with data visualisation tools; and (d) good