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and remote sensing. Experience with environmental modeling, downscaling, and data integration techniques. Salary Range $55,000 + depending on qualifications. Working Conditions May work around standard
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Postdoctoral Associate in the Division of Engineering (Civil and Urban Engineering) Dr. Tarek Abdoun
Bioremediation and geoenvironmental engineering Geohazards risk assessment and management via remote sensing Energy geotechnics Advanced experimental testing and field instrumentation Research Project
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
and Experience Requirements A Ph.D. with an emphasis on remote sensing. Required Qualifications, Competencies, and Experience Required Qualifications for Remote Sensing Post-doc: 1. A PhD degree with an
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, the informatics department of the University of Kiel, and the remote sensing company EOMAP GmbH & Co. KG. Who are we? The IOW is an independent research institute of the Leibniz Association for which equal
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diversity, pluralism, and individual differences. Required Minimum Education Level PhD Work Location Hybrid — Remote/On-campus Employment Category Fulltime Required Application Documents Cover Letter
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Geohazards risk assessment and management via remote sensing Energy geotechnics Advanced experimental testing and field instrumentation Research Project: The successful applicant will lead a fascinating
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tools Supervising and guiding Master and PhD students Active participation in project meetings and events Presenting and publishing the research on an international stage Your Profile: As part of our
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team and complete projects without constant supervision. Understanding the complexity of ecological data sets and the analysis thereof is essential to the project. Also, the integration of remote sensing
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campus-based role that is not suitable for remote working. Education, Qualifications and Experience Education & Qualifications: Essential Criteria An Engineering Doctorate or PhD in a relevant area of
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research skills, particularly in statistical modeling, geospatial analysis, and health metrics evaluation. Experience working with a variety of spatial datasets, including remote sensing data, for health and