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concrete or similar materials. English proficiency as specified at https://www.tudelft.nl/onderwijs/opleidingen/phd/admission . Nice to have: Demonstrable experience with writing scientific publications
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, electrical engineering, computer science, physics, meteorology, or related fields. A strong interest in solar energy and the urban environment is essential, combined with solid skills in remote sensing, signal
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collaborations. We are looking for candidates with a PhD in remote sensing, geoinformatics, computer science, or a related field. Experience in handling multi-source EO data, 3D mapping, and geospatial analysis
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for – Selection Criteria: Essential: A PhD in remote sensing, geoinformatics, computer vision, or a related discipline. Demonstrated expertise in hyperspectral remote sensing, including pre-processing (e.g
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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) GEOL1051-1 Geological imaging and remote sensing (5 ECTS) The candidate (M/F/X) may also propose to develop courses based on their specific expertise and research. The candidate (M/F/X) will also participate
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plumes, surface temperatures, and calving events by combining ground-truth measurements with remote-sensing data. A new Earth-observing CubeSat mission, DISCO2, will launch in 2025 into a sun-synchronous
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project and will be genuinely excited to collaborate—both within the lab and with our broader network of partners. They will help strengthen the supportive culture of the lab, which values rigor, humor, and
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, including statistical methods and/or machine learning (preferred ) · Hands-on experience in image processing, remote sensing data, OpenStreetMap and/or SUMO traffic simulator (preferred
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
environment to study and work in. The University of Zurich has several internationally recognized research groups dedicated to data science, machine learning and remote sensing. We also collaborate with several