12 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" research jobs at Hong Kong Polytechnic University in Hong Kong
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Assistant, applicants should have an honours degree or an equivalent qualification in the aforesaid fields. Applicants are invited to contact Dr Paul Y. P. Tsang at telephone number 2766 4662 or via email at
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should have an honours degree or an equivalent qualification in the aforesaid fields. Applicants are invited to contact Dr Paul Y. P. Tsang at telephone number 2766 4662 or via email at yungpo.tsang
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) have a good knowledge of computer vision and programming skills; and (c) be willing to learn research methods, data processing and data analysis. Applicants are invited to contact Prof. Lawrence W. C
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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management or a related field, or an equivalent qualification; (b) proficiency in programming, including Python and Matlab, data analysis, and standard Microsoft Office Suite; (c) a publication record
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disciplines; (b) have a good knowledge of data analytics, artificial intelligence and programming skills; and (c) be willing to learn translational research methods, data processing and data analysis
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) assist in the creation of written Chinese (Mandarin) language stimuli; (b) assist in the creation and recording of spoken Mandarin language stimuli; (c) assist in designing and programming
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required to: (a) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess
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programming (e.g., Python, R, or Stata). Preference will be given to candidates with prior research experience in data-driven projects. Applicants are invited to contact Prof. Xiaolin Li at telephone number
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, particularly in medical imaging; and (b) strong interests and programming skills in Python, with experience in deep learning frameworks. Applicants are invited to contact Dr Shi Danli at telephone number 2766