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. Large and deep AI models can be built using these data sets and machine learning, which can be combined with real-time satellite-based AIS data and sensors such as radar and algorithms for anomaly
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instrumentation Diagnose and repair equipment such as Doppler radar, lidar, weather stations, cameras, and air-quality instruments Install instrumentation on fixed and mobile platforms and participate in occasional
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of algorithms for synthetic aperture radar signal processing to monitor Earth's surface deformation using multi-platform acquisition systems. Where to apply Website https://selezionionline.cnr.it Requirements
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. Particular emphasis will be placed on scientific ability within the subject area. The following knowledge areas will form the basis for assessment: Quantitative remote sensing, including optical and radar data
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the form of MRI applications, automotive radars, and 5G/6G applications, respectively. To meet the ever-increasing demands of society, e.g. wireless data bandwidth, antenna and RF systems are exhibiting a
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, handcuffs and other law enforcement equipment, breathalyzer machine, radar equipment, fingerprint equipment, camera, copy machine, and telephone required. Additional Responsibilities Education, Experience
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•Microwave/Millimeter-wave and THz Technologies, Antennas and Applications, Electromagnetic Theory and Computational Techniques, IoT Enabling Technologies, Intelligent Sensing and Radar Systems
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programme Reference Number AE2026-0239 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0239
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of seasonal spring melt. The PhD position’s objective is to investigate this link using observations from multi-frequency satellite SAR (TerraSAR-X, Sentinel-1, RCM, NISAR, ALOS-2/-4) and laser and radar
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(e.g., laser scanning, optical satellite imagery, radar, UAV, or aerial imaging). Strong programming and data analysis skills (e.g., Python and/or R), as well as proficiency in GIS software and