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and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex
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or a closely-related field. Demonstrated experience with SAR image processing using SNAP, PolSARPro or similar. Experience in the use of SAR for agricultural applications. Demonstrated proficiency in
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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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of Social Sciences and Humanities. No single discipline can do this alone. The SSH disciplines are characterised by an open way of thinking and the natural urge to seek coherence and connection. The faculty
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computing. The successful candidate will work with Dr. Dan Stowell and his research team. The position is set in the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics
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related to clocks, such as creating a European optical time and frequency distribution network, or building an industry prototype of an optical clock . Our group is furthermore exploring continuously
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forest biomass to assess terrestrial carbon stocks and fluxes to support understanding of the Earth’s carbon cycle. The Biomass mission is imaging the Earth’s surface with a synthetic aperture radar (SAR
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, and modulation, validated on a down-scaled prototype. Where you will work You carry out this position at TU/e Eindhoven within HyCARB, a national programme funded by the National Growth Fund via
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resolution. As part of the Department of Bionanoscience and the Kavli Institute of Nanoscience, we enjoy access to state-of-the-art infrastructure for biochemistry, molecular imaging, cryoEM/ET and high
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the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics" research group in the Leiden Institute for Advanced Computer Science (LIACS). Stowell's team also has regular close