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countries in Southeast Asia, that are supported by the EOS Centre for Geohazard Observations, as well as a Remote Sensing Lab (EOS-RS). Computational resources are available through a dedicated cluster and
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problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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to climate extremes. Research skills and interest in analyzing data from various sources (remote sensing, model output, databases, linked to climate and hydrology Experience with running hydrologic models and
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developed through the USFS Fire and Aviation Management-led Interagency Wildland Fire Air Quality Response Program. They will gain experience with complex datasets from surface observational systems, remote
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remote sensing. The research may range from theoretical to applied and involve the use of measurement and/or modeling approaches. This position will also summarize findings and publish research results in
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for remote sensing and uncertainty estimation. Candidates must have a strong programming background. Requirements: PhD in Computer Science or a related field with a strong emphasis on machine learning
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: Prior experience with analysis of observational remote sensing data sets and/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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system Fluent oral and written communication skills in English and ideally also a Scandinavian language. Desired qualifications: Prior experience with analysis of observational remote sensing data sets and
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for polar and marine research (AWI), Bremerhaven German Aerospace Center (DLR) German Remote Sensing Data Center (DFD), Oberpfaffenhofen Ecologic Institute for International and European Environmental Policy