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7 Dec 2025 Job Information Organisation/Company Faculty of Science, Charles University Research Field Computer science » Other Geography » Cartography Technology » Remote sensing Researcher Profile
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skills in remote sensing, AI, ecological modelling, and policy engagement, working across disciplines and continents. The project includes an industrial supervisor to support non-academic training and
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its maintenance and safety increasingly depend on data. This PhD project will develop new methods that combine remote sensing, physics-based modelling, and Bayesian machine learning to support risk
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3 Fully Funded PhD Students positions!📍 Remote Sensing Laboratory, McMaster University, Hamilton, Ontario, Canada🗓 Start Date: Spring or Fall 2026The Remote Sensing Laboratory at McMaster
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to support the management of forest resources and ecosystems. The PhD candidate will focus on integration of the extensive amount of data collected by forest machines with remote sensing data to further
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | about 1 month ago
self-generated data in the field-, and to explore the potential of remote sensing to unlock the relationship between vegetation history and the distribution of ancient economic and settlement remains
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this centre, we are opening a PhD position on remote sensing of mountain forest dynamics. The Technical University of Munich (TUM) is one of the leading universities globally. At the TUM School of Life Sciences
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict
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to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and
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Phenotyping for Sustainable Crop Production. We are looking for a highly motivated PhD candidate to join our world-leading research program in robotics, remote sensing, and data-driven approaches