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Field
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of the position is to monitor the conditions of crop, pasture, and their growth environment to support agricultural decision making with advanced remote sensing and geospatial technologies. Responsibilities
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with one of the following doctoral research projects. 1. AI-Aided Site Reconnaissance and Rapid Assessments for Settlement Upgrading How can spatial analytics, remote sensing, and machine learning models
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decision making. You will work here The research is embedded within the chair Laboratory for Geo-information Science and Remote Sensing (GRS) which is led by Prof. Sytze de Bruin . You will be supervised by
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, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil
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are an advantage Please feel free to apply even if you do not yet meet all the required skills and qualifications. We may be able to provide training for these during the onboarding process. Our Benefits for You We
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submissions and large-scale projects. The start date is negotiable (ideally Fall 2026), and the position would be hybrid, with some time working in-person at our lab in Louisville. Possibility for remote work
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maintain and develop the operational system around the National Hydrological Model for real-time data generation as well as integrating new data sources such as remote sensing. A central aspect of the role
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | about 2 months ago
to groundbreaking research and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us, contributing to a healthier society in
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Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the
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include work with remote sensing, autonomous sensors, environmental monitoring technologies, data integration, and system-level analyses of monitoring performance under changing environmental conditions