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: Develop experimental research and data analysis based on airborne and UAV infrared observations to extract descriptors of fire behavior. Functions to be developed: Process data from airborne campaigns (e.g
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small drones and UAVs to classic industrial manipulators. The research topics also include, and this within national and international cooperations with academic and industrial partners, areas like
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statistical methods in hydrology; - the ability to use hydrological software such as HEC-RAS / HMS is welcome; - the ability to operate unmanned aerial vehicles (UAVs / drones) is welcome; - foreign internships
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submitted in English) and contact details of at least two referees through this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Monday, 12th January 2026. Late applications will not be
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of Remote Sensing imagery for land monitoring, from UAV and airborne platforms to imaging spectroscopy, optical to SAR satellite data at a global scale. Increasingly, our work integrates AI and machine
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programme Reference Number AE2025-0553 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0553
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; -Training and knowledge in Remote Sensing (UAV, LiDAR); - Oral and written fluency in English, oral fluency in portuguese - Excellent teamwork and initiative skills; - Availability to do field work and
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need for reliable and autonomous offshore infrastructure inspection and surveillance. The project integrates unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and unmanned underwater
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sensors systems and UAVs at different scales. In particular, we will combine borehole and surface GPR as well as small-scale EMI measurements with root and shoot observations in controlled experiments
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the project’s end date, 30/06/2026. 4. ACTIVITY OBJECT / WORK PLAN Research activities in the area of Embedded and Real-Time Computing Systems, applied to Unmanned Aerial Vehicle (UAV) mission systems