11 gis-python-"NTNU---Norwegian-University-of-Science-and-Technology" positions at Hong Kong Polytechnic University in Hong Kong
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degree or a good honours degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field with three or more years of research / relevant work experience. Applicants
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”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
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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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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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background in finance or accounting research; and (c) strong skills in Stata and Python. Applicants are invited to contact Prof. Chong Wang at telephone number 2766 4246 or via email at chong.wang
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analytics; and (b) be proficient in python, R and other statistical packages. Applicants are invited to contact Dr Pamsy Hui at telephone number 2766 7394 or via email at pamsy.hui@polyu.edu.hk
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Applicants should: (a) have an honours degree or an equivalent qualification; (b) be familiar with textual analysis techniques; (c) be proficient in Python programming; and (d) be capable
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manual data coding or crawling from online platforms; and (c) assist in data analysis with Stata and Python, among other activities. Qualifications Applicants should: (a) have an honours degree
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robotics, localization, mapping, and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team