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Job Title Postdoctoral Research Associate: Geoarchaeology of Drowned Gulf Landscapes Agency Texas A&M University Department Anthropology Proposed Minimum Salary $4,500.00 monthly Job Location
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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Requisition Id 17092 Overview: The Environmental Sciences Division at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to join the Earth Systems Modeling Group (ESMG) to work on the Terrestrial Ecosystem Science Scientific Focus Area (TES SFA). The successful...
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wellbeing. The opportunity: Advance urban and landscape-scale natural capital accounting and biodiversity reporting methods through action research in Scotland. We are looking for an interdisciplinary
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Infrastructure? No Offer Description Develop your own research ideas in biodiversity and landscape ecology The Landscape Ecology Group at the University of Potsdam is seeking a motivated and scientifically
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European Landscapes (DROUGHT) brings together perspectives from anthropology, geosciences, and the environmental humanities to understand drought as a complex socio-cultural and geophysical process. Working
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10 Oct 2026 Job Information Organisation/Company Swiss Federal Institute for Forest, Snow and Landscape Research WSL Research Field Environmental science » Earth science Environmental science
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of policy and management aimed at protecting ground-breeding birds. This applies to the main landscape types in which these birds occur: meadow, arable, and coastal habitats, each with its own community
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the Danmarks Frie Forskningsfond/Independent Research Fund Denmark (DFF) research project “Beyond the Hoof: How Cattle Production shaped landscapes and anthropological knowledge of the Kalahari Desert
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) of the governing dynamical equations and the pathways connecting them. The focus will be on the geometry of high-dimensional random landscapes: identifying atypical, yet not rare, clusters