16 programming-language-"Masaryk-University---Faculty-of-Science" Fellowship positions at Hong Kong Polytechnic University
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) should have five passes in HKCEE including English Language (at least Grade C if Syllabus A; Level 2 if results are obtained from 2007 onwards), Chinese Language (Level 2 if results are obtained from 2007
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programming language, such as JavaScript, C++ or Python; (b) be familiar with BIM development frameworks (e.g. Revit API, AutoCAD .NET API, and Forge); and (c) understand BIM standards (e.g. IFC and COBie
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for neuromorphic computing or a related area; (c) publication record with at least one high-impact paper as first author in a top-tier journal (JCR 1st quartile); and (d) excellent English proficiency. Applicants
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learning application, etc.; (c) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (d) have good communication skills; (e) be self-motivated; and (f) have good professional ethics
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English proficiency in all the aspects of listening, speaking, reading and writing. Applicants are invited to contact Dr Dai Bingyang at telephone number 2766 7628 or via email at bingydai@polyu.edu.hk
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of the above-mentioned disciplines. Applicants should also: (a) be proficient in using statistical software programmes such as SPSS, R or Mplus; (b) have good academic writing skills in English with
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-qualification experience. For the post of Research Administrative Assistant / Project Administrative Assistant, applicants should be a form five school leaver with 5 passes in HKCEE including English Language
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, applicants should also have: (a) strong background in robotics, localization, mapping, and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated
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, mapping, and multi-modal sensor fusion; (d) proficiency in programming languages such as Python and C++; (e) demonstrated ability to conduct independent research and contribute to collaborative
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twelve months] Duties The appointees will assist the project leader in the research project - “Develop a vision-language model-based smart driving assistant for enhancing safety and convenience