23 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"IMPRS-ML"-"U.S"-"IDAEA-CSIC" positions at Hong Kong Polytechnic University in Hong Kong
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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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speech data using Praat/Audacity; (c) have good knowledge of both acoustic and articulatory phonetics and speech in general; (d) have experience in using R programming language; and (e) be fluent
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be given to those with related work experience in the fields of computer science and programming. Applicants are invited to contact Dr Ken Wan Kin at telephone number 2766 4471 or via email at kin.wan
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field; (b) be proficient in programming languages such as Python; (c) have an excellent command of both written and spoken English; (d) be able to work effectively on their own and as part of a
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MAFA programme”. He/She will be required to: (a) help conducting the python summer bootcamp and the technology-related tutorials for the four technical subjects designed for MAFA; (b) prepare training
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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