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Field
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(incl. roads, railways, and waterways) as well as their associated engineering structures (bridges, retaining walls, noise barriers, and hydraulic structures). A wide range of remote sensing data may be
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In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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for admission. The project would suit a candidate with a background in surveying/geodesy, geomatics, remote sensing, geospatial science, civil/environmental engineering, hydrology, Earth observation
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with prehistoric artifacts. The tasks associated with the position advertised here include geomorphological mapping using remote sensing methods and verification through fieldwork. Fieldwork comprises
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with other scientists at TU/e and more recently within the newly formed Casimir Institute to develop the required solution for many of the relevant challenges in communication and sensing systems
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platform, offering significant discounts on travel, culture, technology, gastronomy, sports and more. Healthy offering– “Feel Good, Feel VHIR”: VHIR’s wellbeing programme offers a variety of activities to
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platform, offering significant discounts on travel, culture, technology, gastronomy, sports and more. Healthy offering– “Feel Good, Feel VHIR”: VHIR’s wellbeing programme offers a variety of activities to
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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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relevant Master's degree in Cybernetics, Electrical Engineering, Remote Sensing, (Geo)Physics, Applied Mathematics, Marine Technology, Civil Engineering, Structural Engineering, Mechanical Engineering