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responds to climate change in the past and present to improve future predictions of sea-level rise and Earth system feedbacks. The work combines collection of field data, remote sensing, and modelling in
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bring strong research expertise and strong technical skills within remote sensing and ecology, notably lidar processing. The successful candidate should have: Required: A PhD degree with a publication
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transport, leveraging in-situ and indirect measurements such as geophysical and/or remote sensing observations.Conducting fieldwork in Greenland, including UAV-based sampling campaigns and vibroseismic
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interdisciplinary environment, with close links across ecology, biodiversity, AI, and remote sensing — both within Aarhus University and with leading collaborators worldwide. A stimulating research culture that
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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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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fieldwork and data-intensive projects. A vibrant interdisciplinary environment, with close links across ecology, biodiversity, AI, and remote sensing — both within Aarhus University and with leading
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Are you experienced in integrating field data and remote sensing data with numerical modelling to quantify interactions within ecosystems? Then apply to the open position as associate professor in
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Department of Geosciences and Natural Resource Management Faculty of Science University of Copenhagen The Postdoc position is focused on Arctic coastal morphology and remote sensing and is embedded