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Field
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, and in collaboration with Previsico Ltd. and the US Geological Survey, the researcher will combine fieldwork, remote sensing, and modelling (using CAESAR-Lisflood) to quantify how burned landscapes
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sensing and ecology. The successful candidate should have: Required: A PhD degree with a publication record in peer-reviewed international journals Experience with remote sensing, LiDAR, or GIS applications
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, Skills & Abilities Proficiency with Google Earth Engine, ArcGIS Pro, RStudio Preferred Qualifications PhD in marine ecology/remote sensing Applicant instructions: Applicants should be prepared to upload
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sensing and ecology. The successful candidate should have: Required: A PhD degree with a publication record in peer-reviewed international journals Experience with remote sensing, LiDAR, or GIS applications
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integrity and develop new ways to assess and monitor these impacts. Working at the interface of climate science, geotechnical engineering, remote sensing and critical asset management you will integrate
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Sand is the world’s most used resource after water and intensive extraction is reshaping major rivers and deltas. This PhD will quantify how sand mining alters globally relevant river channels
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under different climate and nutrient input scenarios. Within IOW, the PhD candidate will collaborate with IOW’s Department of Marine Observations Integrated Optical Remote Sensing Research Group
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, electrical engineering, computer science, physics, meteorology, or related fields. A strong interest in solar energy and the urban environment is essential, combined with solid skills in remote sensing, signal
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& Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty
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Master’s degree in machine learning, computer science, or a forest-related field with a focus on remote sensing Experience with deep learning The following experiences and skills will be emphasized