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Geography and Hydrology, which has long-term experience in investigating the terrestrial cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no
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investigating the terrestrial cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https
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using 2D and 3D morphometrics approaches including light structure 3D scanning, CT scanning, photogrammetry, and caliper measurements; conducting phylogenetic comparative analyses including OU modeling
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segmentation, or transfer learning. • Experience with drone (UAS) image acquisition and processing. • Experience with structure-from-motion photogrammetry. • Experience with geospatial analyses. • Experience
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experience in one or more of: LiDAR processing forest inventory photogrammetry machine learning computer vision geospatial analysis experience analysing large spatial datasets programming experience in Python
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30 for five subjects, is first in Hong Kong for four subjects, and is in the global top 100 for 24 subjects. For further details about the University, please visit PolyU’s website at https
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Artificial Intelligence (GeoAI), Photogrammetry and Mapping, etc., and establish an active scholarly program in their area of expertise. Additional responsibilities include mentoring undergraduate and graduate
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geospatial modeling and computational spatial data processing • Strong proficiency in Python and scalable data pipeline development • Experience working with LiDAR, elevation models, photogrammetry, and large
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) GME 123: Stereo Photogrammetry (3 units, 4 WTU) GME 126: Digital Mapping (3 units, 4 WTU) GME 159: Subdivision Design (3 units, 3 WTU) or other classes that may be identified as needed to fulfill