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Field
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to single-platform radar systems, distributed Synthetic Aperture Radar (SAR) architectures offer increased flexibility and resilience, more rapid environmental mapping, improved spatial coverage and enhanced
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Drones represent a key challenge for modern radar systems. They are very difficult to detect due to their small size, low flight profile and slow speed. This project investigates how to improve
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physics, or related fields). Advanced Training / Specializations: Radar. Computer Skills / Operation and Programming (required and proficiency level): Microsoft Office, advanced level. Foreign Languages
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ecology techniques (e.g. radio-tracking, animal handling, behavioural observation), geophysical and surveying techniques (e.g. ground-penetrating radar, relative GPS), working with big data, statistical
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geophysical and modeling approach. High-resolution subsurface characterization will be carried out using electromagnetic induction (EMI), electrical resistivity tomography (ERT), and ground penetrating radar
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questions within the thematic scope of Antarctic ice shelf interactions Analyse observational datasets (e.g. ground-based radar measurements and weather station data) Contribute to the development and
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Information Additional comments This PhD position is funded by the Comunidad de Madrid through the project RAdar for Fusion TEChnologies (RAFTEC-CM), reference TEC-2024/TEC-22, granted in the 2024 R&D Programs
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datasets (e.g. ground-based radar measurements and weather station data) Contribute to the development and application of numerical models Assess uncertainties for future sea-level projections Publish
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or whether these MDCG have slid in the past. Composition. Only the largest MDCG can be investigated with orbital ground penetrating radars, so the inner structure of most MDCG remains unknown. Where to apply
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to integrate next generation satellite radar (InSAR) monitoring for ground motion with Global Navigation Satellite Systems (GNSS) positioning devices. This will focus on test sites where the student will