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geology, and geodesy Good field expertise in active tectonics and paleoseismology; knowledge of Balkans/Aegean geology is a plus Experience with structural/kinematic analysis and GIS Strong communication
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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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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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develop an end-to-end processing system as well as a hazard map visualization (Web and/or GIS); Publishing the various scientific advances in conferences and peer-reviewed journals. Where to apply E-mail
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limited to a record of scholarly publications Experience in programming and code development (python, R) Proven ability to publish manuscripts in peer-reviewed scientific journals Fluent English, both
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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: • PhD in Geography (Remote Sensing, Geomatics), Computer Science, Agricultural Sciences • Skills and/or knowledge in artificial intelligence (Machine Learning) and programming: proficiency in Python
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for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical, chemical, and biological components into the river-lake network models