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Field
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conducting field work. Experience in teaching and supervision of undergraduate and MSc students. Experience with remote sensing, land-use and/or global climate data, including observed and modeled
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
waters are experiencing an increasing intensity of commercial, scientific, and political developments. The Southern Ocean is no longer a remote region (if it ever was). Scientists, fishers, and tourists
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
are experiencing an increasing intensity of commercial, scientific, and political developments. The Southern Ocean is no longer a remote region (if it ever was). Scientists, fishers, and tourists travel
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of commercial, scientific, and political developments. The Southern Ocean is no longer a remote region (if it ever was). Scientists, fishers, and tourists travel to Antarctica and its surrounding waters
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
The large collaborative project ‘3D-ABC’, funded for 3 years by the Helmholtz Foundation Model Initiative, will focus on the development of a Foundation Model combining large remote sensing and field datasets
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supervision of undergraduate and MSc students. Experience with remote sensing, land-use and/or global climate data. Place of employment The place of employment is at the Villum Center for Global Mountain
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
language skills are not required. Knowledge of instrument design, remote sensing or electronics is a big plus. Our offer We offer excellent working conditions in a highly international and interdisciplinary
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data. Experience working with remote sensing data. Two years of experience using advanced statistics. Excellence in the field as demonstrated by relevant publications, or a fellowship in quantitative
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
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data. Experience working with remote sensing data. Two years of experience using advanced statistics. Excellence in the field as demonstrated by relevant publications, or a fellowship in quantitative