17 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"U"-"O.P"-"ISCTE-IUL" positions at Hong Kong Polytechnic University in Hong Kong
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in research. Candidates with extensive programming knowledge will be a plus. Applicants are invited to contact Prof. Daniel Nathan at telephone number 3400 3371 or via email at daniel.nathan
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Intelligence or related disciplines; (b) have a good knowledge of medical imaging and programming skills; and (c) be willing to learn clinical research methods, data processing and data analysis
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, applicants should have an honours degree in the aforesaid disciplines or an equivalent qualification. For both posts, applicants should also have good analytical, mathematical and programming skills (e.g. C/C
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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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for the Research Associate post should have a master’s degree or an equivalent qualification with experience in programming, software engineering or new media art engineering. Applicants for the Research Assistant
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management, mathematics or a related field, or an equivalent qualification; (b) proficiency in programming, including Python and Matlab, data analysis, and Microsoft Office Suite, which includes Word, Excel
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Engineering with a strong background in mathematics and programming. Applicants are invited to contact Prof. Wen Weisong at telephone number 3400 8234 or via email at welson.wen@polyu.edu.hk for further