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Distributed radar systems comprise a coherent network of spatially distributed sensors that can be independently transmitting, receiving, or both. By acting in unison, rather than in isolation
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the design and optimization of multistatic and multifrequency radar architectures for near-field 3D imaging. - Contribute to the electromagnetic modeling of radiating systems, wave-object interaction, and
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, target recognition and shape estimation, data association, as well as intention prediction, beyond the state of the art. In order to support machine learning, the project will make use of historical radar
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10th January 2026 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD Candidate PhD Candidate in radar tracking with AI Apply for this job See
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Group, https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/communication-systems/ , employing around 45 people, including 8 faculty and 25 PhD students. During
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traditional agricultural crop fields with multi-modal multi-temporal Synthetic Aperture Radar data Distinct agricultural crops and practices play a central role in shaping the culture and cultural heritage
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to train tomorrows leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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Systems (ADAS) and Automated Vehicles (AVs) beyond traditional camera, radar, and lidar sensors. Unlike these sensors, which require direct line-of-sight, acoustic detection captures traffic sounds like
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management scenarios using geophysics and numerical modeling. High-resolution subsoil characterization using electromagnetic induction (EMI), and ground penetrating radar (GPR) will be combined with soil
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Topography. Examples of post-storm relevant spaceborne missions include, BIOMASS L-band Synthetic Aperture Radar (SAR), NISAR SAR, and GEDI LiDAR, that can capture structural information about the forests