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circumstances, the doctoral degree can have been completed earlier. Additional requirements: PhD in physical geography, remote sensing, geoinformatics, forest ecology, environmental science, or a closely related
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statistical software; experience with remote sensing, image analysis, crop modelling or other quantitative approaches relevant to crop research; and experience of scientific writing and communication. We place
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in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment, to study
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central — a natural home for research based on satellite lidar, which is fundamentally an application of laser remote sensing. The PhD student will become part of an active research environment
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analyzing large-scale UAV-based image datasets, including hyperspectral, multispectral, thermal, and RGB imagery. Develop field digital twins by integrating crop growth models, remote sensing data, genomic
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of marine ecosystem monitoring across spatial and temporal scales. The project will include work with remote sensing, autonomous sensors, environmental monitoring technologies, data integration, and system
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are looking for a Research Assistant in Machine Learning and Multimodal Digital Biomarkers with a focus on voice biomarkers, wearable sensing technologies, and performance monitoring, at the Department
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of cutting-edge technology in marine science (for example - but not limited to; autonomous underwater vehicles, remote sensing, hyperspectral imaging, analytical pipelines). In particular