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classification of different types of landslides based on the analysis of geological, geomorphological, and geometric landslide data Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with M Group, a leading essential infrastructure services provider operating within the Transport
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 22 hours ago
of Department The Department. The Department of Earth, Environmental and Geographical Sciences (https://geoearth.charlotte.edu/ ) is a diverse community of physical, geospatial, and social scientists composed
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, in teacher education (bachelor program and master program), in a faculties-arching master program in "Environmental Sciences", and on doctoral level. Details on the Department can be access on http
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sustainable monitoring. Specific tasks include: i) Develop a RIS-enabled SWIPT (Simultaneous Wireless Information and Power Transfer) architecture for landslide-prone regions. ii) RIS-enabled beamforming and
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collapse, or landslide-related deformation; fault zone geology and links to earthquake processes; geomechanics; seismotectonics; and structural and deformation processes applied to industry sectors such as
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, in teacher education (bachelor program and master program), in a faculties-arching master program in "Environmental Sciences", and on doctoral level. Details on the Department can be access on http
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. Details on the Department can be access on http://geographie.univie.ac.at/en/home/ . Your personal sphere of influence: The position is assigned to the research group Physical Geography ENGAGE - Geomorphic
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, Geotechnical Engineering or related fields Experience with or interest in point cloud analysis is considered an asset Strong interest in debris flow mechanisms Strong interest and/or background in landslide
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-urban-interface fire, post-fire slope hazards, landslides, and other compound or cascading events. Interests include probabilistic and uncertainty-informed methods, nonstationary climate and exposure