35 gis-python-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Hong Kong
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record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
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programming languages/software such as MATLAB, Python, R, Stata, as well as GIS applications (e.g., QGIS). Have excellent communication skills in both English and Chinese, in writing and in oral presentations
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Science in Geospatial Data Sciences. Our faculty members are actively engaged in research spanning three key themes: Geospatial Data Sciences (e.g., remote sensing, geographic information science - GIS
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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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research spanning three key themes: Geospatial Data Sciences (e.g., remote sensing, geographic information science - GIS), Environmental Change & Sustainability, and Cities, Culture & Society. The
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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