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in ecological fieldwork, ideally in wet grassland or agricultural systems - Skills in GIS, remote sensing, and spatial data analysis (bonus: agent-based modelling) - Demonstrated ability to work in
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carried out under the scientific supervision of Marianne Laslier (UMR EDYSAN 7058 CNRS), lecturer and researcher in ecology, geography, and remote sensing; Pauline Dusseux (UMR PACTE 5194 CNRS), lecturer
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, participation in scientific conferences or research projects), - Experience in advanced GIS analyses and in production and analysis of remote sensing material, - Documented experience in field and laboratory
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
Change Institute, School of Geography and the Environment, University of Oxford. The post holder will have responsibility for developing research on the ecology, climate change and remote sensing
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
description can be changed at any time. Minimum Requirements Minimum qualifications for the Turner post-doc fellow include the following: PhD by the hire date in Geography, Remote Sensing, Earth Sciences, or in
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, multi- layered spatial data sets (e.g. Remote Sensing and GIS), and contributing to the growth of the interdisciplinary Integrated Coastal Studies Program, which focuses on issues related
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experiments, digital technologies, including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. Danish peatlands disappear due to human activities such as
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experiments, digital technologies, including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. Danish peatlands disappear due to human activities such as
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within the past 3 years in Environmental Science, Geography, Computer Science, Atmospheric Sciences, or related field. Advanced GIS and geospatial computing expertise. Demonstrated commitment and ability